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a/THESE/Chapters/chapter2/chapter2d.tex b/THESE/Chapters/chapter2/chapter2d.tex index a9c8e1e..3394929 100644 --- a/THESE/Chapters/chapter2/chapter2d.tex +++ b/THESE/Chapters/chapter2/chapter2d.tex @@ -54,7 +54,7 @@ $\epsilon \leftarrow 1$ \; } \end{algorithm} -\subsection{Partitionnement de graphe} +\subsection{Partitionnement de graphe\label{seggraph}} Un autre formalisme qui a généré une vaste classe d'algorithmes de segmentation est celui des graphes. Il repose sur l'idée que les régions de l'image sont représentées par les n\oe uds d'un graphe, alors que les liens traduisent les relations de voisinage existant entre les régions, l'idée de base étant d'initialiser le graphe avec un n\oe ud pour chaque pixel. La segmentation est obtenue par partitionnement itératif du graphe, en évaluant les liens et en déterminant ceux à supprimer, et ce jusqu'à convergence. L'essentiel de la problématique réside donc dans la métrique retenue pour évaluer les liens ainsi que dans le critère de sélection et, là encore, la littérature regorge d'une grande variété de propositions. diff --git a/THESE/Chapters/chapter4/chapter4.tex b/THESE/Chapters/chapter4/chapter4.tex index 22657b8..15580f9 100644 --- a/THESE/Chapters/chapter4/chapter4.tex +++ b/THESE/Chapters/chapter4/chapter4.tex @@ -1,11 +1,28 @@ \section{Introduction} -Le concept de ligne de niveau dans les images a été introduit dès 1975 par Matheron \cite{matheron75}, puis Caselles \textit{et al.} \cite{caselles97} l'ont exploité et proposé le cadre définissant les \textit{images naturelles} comme les scènes photographiées, en intérieur ou en extérieur, à l'aide d'un appareil standard. Ces images vérifient alors l'hypothèse de gradient à valeurs bornées et peuvent être décomposées en un ensemble de lignes de niveaux. -Bertaux \textit{et al.} ont plus récemment proposé un algorithme de réduction du \textit{speckle} dans les images éclairées en lumière cohérente en introduisant, pour les pixels de l'image observée, une contrainte d'appartenance aux lignes de niveaux du modèle d'image non bruitée \cite{bertaux2004speckle}. L'image observée étant perturbée, les lignes de niveaux ne sont pas accessibles et il s'agit donc d'en estimer, localement par morceaux, la valeur et la forme, en se basant sur un modèle de forme pré établi. +La grande majorité des solutions de débruitage performantes actuelles mettent en \oe{}uvre des représentations basées sur des transformées décomposant la \textit{fonction} image en une base prédéterminée de fonctions élémentaires ( Fourier, ondelettes...). Elles sont, \textit{a priori}, bien adaptées à ce problème car elles reposent sur le principe même de génération de l'image et des principaux bruits qui la perturbent. + +Du point de vue de l'analyse des images, ces techniques ne sont en revanche pas nécessairement les plus pertinentes, en particulier car elles ne conservent pas la propriété d'invariance des structures principales de la scène pour la perception visuelle, vis-à-vis de grandeurs comme par exemple le contraste. + +Une autre famille de modèles tente de représenter les scènes en se basant sur les \textit{contours significatifs} des éléments ou objets présents dans les images. Naturellement, l'extraction et la hiérarchisation conduisant à l'identification ou à la génération des seuls contours \textit{significatifs} sont les deux phases essentielles du problème et concentrent la difficulté. + +Dans \cite{haralick1987image}, les auteurs proposent un modèle sans paramètre et indépendant du contraste, basé sur les ensembles de niveaux (\textit{level-sets}) de l'image. Les frontières de ces ensembles sont les \textit{lignes de niveau} ou \textit{level lines}. +Ce concept de ligne de niveau dans les images avait été introduit initialement en 1975 par Matheron \cite{matheron75}, puis Caselles \textit{et al.} \cite{caselles97} l'ont exploité et proposé le cadre définissant les \textit{images naturelles} comme les scènes photographiées, en intérieur ou en extérieur, à l'aide d'un appareil standard. Ces images vérifient alors l'hypothèse de gradient à valeurs bornées et peuvent être décomposées en un ensemble de lignes de niveaux. Connaissant les lignes de niveaux d'une image, on se pose alors le problème inverse de la reconstruction de l'image dont elles sont issues. + +Dans \cite{Caselles99topographicmaps}, Monasse \textit{et al.} structurent l'ensemble des lignes de niveaux en un arbre traduisant leurs inclusions géométriques et appliquent ensuite des méthodes de segmentation dérivées de celles que nous avons présentées au chapitre \ref{seggraph} pour extraire les structures principales de l'image. Ce modèle permet en particulier les changements d'échelles. La figure \ref{fig-levellines-monasse} montre, sur la ligne du haut, une image originale et sa reconstruction à l'échelle $\times$150 à l'aide de cette méthode, alors que la ligne du bas reproduit les lignes de niveaux identifiées dans l'image originale et celles retenues pour la représentation. Il est à noter que toutes les lignes de niveau sélectionnées appartiennent à l'ensemble original. + +\begin{figure}[h] +\center +\includegraphics[width=10cm]{Chapters/chapter4/img/levellines-monasse.png} +\caption{\label{fig-levellines-monasse}Exemple d'exploitation des lignes de niveaux. En haut : l'image originale et sa représentation à l'échelle $\times$150. En bas : les lignes de niveaux de l'image originale et celles utilisées pour la mise à l'échelle. Toutes les lignes de niveaux de l'image de droite existent à l'identique dans l'ensemble original. Illustration tirée de \cite{Caselles99topographicmaps}.} +\end{figure} + + +Bertaux \textit{et al.} ont plus récemment proposé un algorithme de réduction du \textit{speckle} dans les images éclairées en lumière cohérente en introduisant, pour les pixels de l'image observée, une contrainte d'appartenance aux lignes de niveaux du modèle d'image non bruitée \cite{bertaux2004speckle}. L'image observée étant perturbée, les lignes de niveaux ne sont pas accessibles et il s'agit donc d'en estimer, localement et par morceaux, la valeur et la forme, en se basant sur un modèle de forme pré-établi. Pour un pixel dont on cherche à estimer la valeur du niveau de gris, la contrainte d'appartenance à une ligne de niveau demeure locale, avec cependant un voisinage de forme et de taille (en nombre de pixels) variables en fonction des propriétés de l'image bruitée dans la zone concernée. Ce voisinage, dont la forme, l'étendue et le niveau de gris sont déterminés par maximum de vraisemblance, appelé une \textit{isoline}, est une estimation locale de la ligne de niveau à laquelle appartient le pixel concerné. Cette technique a montré qu'elle permettait de réduire très significativement le niveau de bruit tout en préservant les contours des objets. Elle s'est en revanche averée gourmande en ressources, ce qui a initialement conduit les auteurs à réduire la résolution de calcul des \textit{isolines} par application d'un maillage sur l'image bruitée. Malgré cela, les temps de calcul demeuraient prohibitifs, avec une image de 2 millions de pixels traitée en 1 minute par un PIII-1GHz. -Comme nous l'avons déjà évoqué, l'amélioration des performances des microprocesseurs permet aujourd'hui de réduire assez considérablement ce temps de calcul. Cependant, la résolution des images à traiter à crû dans des proportions comparables, laissant les termes du compromis qualité/performance inchangés. +Comme nous l'avons déjà évoqué, l'amélioration des performances des processeurs permet aujourd'hui de réduire considérablement ce temps de calcul. Cependant, la résolution des images à traiter à crû dans des proportions comparables, laissant les termes du compromis qualité/performance inchangés. \section{Présentation de l'algorithme} \subsection{Formulation} @@ -727,4 +744,4 @@ La démarche adoptée pour sa conception a été de se baser sur des opérations L'algorithme et les résultats que nous avons détaillés dans ce chapitre ont été publiés dans le \textit{Journal of real-time image processing} dans un article intitulé \textit{Fast GPU-based denoising filter using isoline levels} \cite{perrotlniv}. -% LocalWords: pénalisante estimateurs colorimétriques +% LocalWords: pénalisante estimateurs colorimétriques l'invariance diff --git a/THESE/Chapters/chapter4/img/levellines-monasse.png b/THESE/Chapters/chapter4/img/levellines-monasse.png new file mode 100644 index 0000000000000000000000000000000000000000..c79a26a92448d0858e42cd97e9a77841062d0114 GIT binary patch literal 307309 zcmV**Ks3LJP)&7 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Translation., 142 p.}, + volume={1}, + year={1993} +} +@article{haralick1987image, + title={Image analysis using mathematical morphology}, + author={Haralick, Robert M and Sternberg, Stanley R and Zhuang, Xinhua}, + journal={Pattern Analysis and Machine Intelligence, IEEE Transactions on}, + number={4}, + pages={532--550}, + year={1987}, + publisher={IEEE} } \ No newline at end of file diff --git a/THESE/resumes.txt b/THESE/resumes.txt new file mode 100644 index 0000000..f2e913a --- /dev/null +++ b/THESE/resumes.txt @@ -0,0 +1,11 @@ +Résumé français + + Les cartes graphiques modernes (GPU) mettent, en théorie, la programmation parallèle à la portée de tous. Ces facilités ont éveillé l'intérêt des chercheurs et développeurs de toutes disciplines, qui ont tenté de tirer parti des performances élevées de ces matériels. Cependant, d'importants efforts de conception sont souvent nécessaires à l'obtention des vitesses de traitement espérées. +Dans cette thèse, nous proposons des méthodes conduisant à des implémentations rapides de plusieurs algorithmes destinés au traitement des images fortement bruitées. La première est une transposition sur GPU d'un algorithme de segmentation dit du snake dont la capacité de traitement a été étendue et les performances améliorées. La seconde décrit un algorithme original, basé sur la recherche des lignes de niveaux et conçu spécifiquement pour les GPUs, qui réduit le bruit gaussien dans les images en niveaux de gris ou en couleur et dont le rapport qualité/vitesse est particulièrement intéressant. En concevant une gestion fine des mémoires du GPU, nous avons également conféré un débit de traitement inégalé au filtre médian, pouvant dépasser les 5 milliards de pixels à la seconde. Enfin nous avons étendu l'application de ces techniques à un opérateur beaucoup plus générique, le filtre de convolution, et montré qu'elles permettaient de surpasser les implémentations les plus rapides connues jusqu'alors, avec un maximum au delà des 7 milliards de pixels à la seconde. Nous mettons aussi à disposition une application en ligne permettant à tout développeur de générer les codes sources opérationnels des filtres que nous avons décrits. + +Absract in English + +In theory, modern graphical processing units (GPUs) make parallel programming accessible to all, and have triggered widespread interest among researchers or developers of all disciplines, with the hope of dramatically increasing processing speeds. Nevertheless, obtaining such performances cannot be done without considerable designing efforts : as an answer, we propose two GPU-based methods leading to fast implementations of several algorithms targeted to processing noisy images. One of them consists in porting the segmentation algorithm named snake, with the effect of extending its processing capacity and performance. A second involves a innovative GPU-specific algorithm, based on searching for level lines within gray-level or color images to reduce gaussian noise, whose quality-to-speed ratio is particularly interesting. +Through extremely fine-tuned management of the different memory types available on GPUs, we have also conferred unprecedent flow rates to the median filter, making it able to process over 5 billion pixels per second. Eventually, we extended the above methods to the more generic convolution filter, and showed they out-perform the fastest implementations known to date, with over 7 billion pixels per second. In addition, we provide an on-line application that enables any developer to automatically generate operational source code of our filters. + +Keywords : GPU, filter, image, segmentation, median, convolution, snake diff --git a/THESE/resumes.txt~ b/THESE/resumes.txt~ new file mode 100644 index 0000000..e69de29 diff --git a/THESE/these.aux b/THESE/these.aux index b83278a..5d70326 100644 --- a/THESE/these.aux +++ b/THESE/these.aux @@ -189,6 +189,7 @@ \citation{4310076} \@writefile{toc}{\contentsline {subsection}{\numberline {5.2.1}Analyse d'histogramme}{36}{subsection.5.2.1}} \newlabel{sec-histo}{{5.2.1}{36}{Analyse d'histogramme\relax }{subsection.5.2.1}{}} +\newlabel{seggraph}{{5.2.2}{36}{Partitionnement de graphe\label {seggraph}\relax }{subsection.5.2.2}{}} \@writefile{toc}{\contentsline {subsection}{\numberline {5.2.2}Partitionnement de graphe}{36}{subsection.5.2.2}} \newlabel{fig-histo-cochon-a}{{5.1(a)}{37}{Subfigure 5 5.1(a)\relax }{subfigure.5.1.1}{}} \newlabel{sub@fig-histo-cochon-a}{{(a)}{37}{Subfigure 5 5.1(a)\relax }{subfigure.5.1.1}{}} @@ -488,196 +489,202 @@ \@writefile{lof}{\contentsline {subfigure}{\numberline{(a)}{\ignorespaces {D\IeC {\'e}termination de $j_L$ et $j_H$.}}}{73}{figure.6.12}} \@writefile{lof}{\contentsline {subfigure}{\numberline{(b)}{\ignorespaces {D\IeC {\'e}termination de $i_L$ et $i_H$.}}}{73}{figure.6.12}} \@writefile{toc}{\contentsline {subsection}{\numberline {6.3.5}Conclusion}{73}{subsection.6.3.5}} +\citation{haralick1987image} \citation{matheron75} \citation{caselles97} -\citation{bertaux2004speckle} +\citation{Caselles99topographicmaps} \@writefile{toc}{\contentsline {chapter}{\numberline {7}R\IeC {\'e}duction de bruit par recherche des lignes de niveaux}{75}{chapter.7}} \@writefile{lof}{\addvspace {10\p@ }} \@writefile{lot}{\addvspace {10\p@ }} \newlabel{ch-lniv}{{7}{75}{Réduction de bruit par recherche des lignes de niveaux\label {ch-lniv}\relax }{chapter.7}{}} \@writefile{toc}{\contentsline {section}{\numberline {7.1}Introduction}{75}{section.7.1}} -\@writefile{toc}{\contentsline {section}{\numberline {7.2}Pr\IeC {\'e}sentation de l'algorithme}{76}{section.7.2}} -\@writefile{toc}{\contentsline {subsection}{\numberline {7.2.1}Formulation}{76}{subsection.7.2.1}} -\@writefile{lof}{\contentsline {figure}{\numberline {7.1}{\ignorespaces D\IeC {\'e}tail des motifs et de leur repr\IeC {\'e}sentation interne, pour la taille $a=5$. }}{76}{figure.7.1}} -\newlabel{fig-lniv-p5q1}{{7.1}{76}{\label {fig-lniv-p5q1}Détail des motifs et de leur représentation interne, pour la taille $a=5$. \relax }{figure.7.1}{}} -\@writefile{lof}{\contentsline {subfigure}{\numberline{(a)}{\ignorespaces {Les 8 premi\IeC {\`e}res lignes de la table $P_5$. 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-\bibcite{macqueen1967some}{62} -\bibcite{Mallat:2008:WTS:1525499}{63} -\bibcite{mancuso2001introduction}{64} -\bibcite{martin2001database}{65} -\bibcite{matheron75}{66} -\bibcite{coil}{67} -\bibcite{CUDAPG}{68} -\bibcite{osher1988fronts}{69} -\bibcite{4310076}{70} -\bibcite{medianggems5}{71} -\bibcite{PALHANOXAVIERDEFONTES}{72} -\bibcite{pelleg2000x}{73} -\bibcite{4287006}{74} -\bibcite{6036776}{75} -\bibcite{perrotbookgpu}{76} -\bibcite{perrot2013fine}{77} -\bibcite{perrotlniv}{78} -\bibcite{1521458}{79} -\bibcite{tid2008a}{80} -\bibcite{psnrhvsm}{81} -\bibcite{4587843}{82} -\bibcite{Roberts:2010:WGA:1921479.1921499}{83} -\bibcite{ronfard1994region}{84} -\bibcite{rumpf2001level}{85} -\bibcite{sanchezICASSP12}{86} -\bibcite{6288187}{87} -\bibcite{sethian1996fast}{88} -\bibcite{kmeansgpuopengl}{89} -\bibcite{shi2000normalized}{90} -\bibcite{snakegvfopencl12}{91} -\bibcite{convolutionsoup}{92} -\bibcite{graphcutscuda}{93} -\bibcite{strang1999discrete}{94} -\bibcite{sanchez2013highly}{95} -\bibcite{theuwissen2001ccd}{96} -\bibcite{710815}{97} -\bibcite{tukey77}{98} -\bibcite{van2004detection}{99} -\bibcite{vedaldi2008quick}{100} -\bibcite{4563095}{101} -\bibcite{Vineet:2009:FMS:1572769.1572796}{102} -\bibcite{volkov2010better}{103} -\bibcite{wang2001image}{104} -\bibcite{wang2003image}{105} -\bibcite{Wang04imagequality}{106} -\bibcite{wong2010demystifying}{107} -\bibcite{wu1993optimal}{108} -\bibcite{xiao2010efficient}{109} -\bibcite{5206542}{110} -\bibcite{Zahn:1971:GMD:1309266.1309359}{111} -\bibcite{zheng2011performance}{112} -\bibcite{zheng2012fast}{113} +\bibcite{haralick1987image}{46} +\bibcite{snakegvf06}{47} +\bibcite{healey1994radiometric}{48} +\bibcite{hochbaum2013simplifications}{49} +\bibcite{5170921}{50} +\bibcite{humphrey1924psychology}{51} +\bibcite{jeong2009scalable}{52} +\bibcite{5402362}{53} +\bibcite{KassWT88}{54} +\bibcite{keselman1998extraction}{55} +\bibcite{cmla2009Kes}{56} +\bibcite{kohli2007dynamic}{57} +\bibcite{lefohn2003inter}{58} +\bibcite{lefohn2003interactive}{59} +\bibcite{lefohn2005streaming}{60} +\bibcite{li2009mean}{61} +\bibcite{li2011robust}{62} +\bibcite{macqueen1967some}{63} +\bibcite{Mallat:2008:WTS:1525499}{64} +\bibcite{mancuso2001introduction}{65} +\bibcite{martin2001database}{66} +\bibcite{matheron75}{67} +\bibcite{coil}{68} +\bibcite{CUDAPG}{69} +\bibcite{osher1988fronts}{70} +\bibcite{4310076}{71} +\bibcite{medianggems5}{72} +\bibcite{PALHANOXAVIERDEFONTES}{73} +\bibcite{pelleg2000x}{74} +\bibcite{4287006}{75} +\bibcite{6036776}{76} +\bibcite{perrotbookgpu}{77} +\bibcite{perrot2013fine}{78} +\bibcite{perrotlniv}{79} +\bibcite{1521458}{80} +\bibcite{tid2008a}{81} +\bibcite{psnrhvsm}{82} +\bibcite{4587843}{83} +\bibcite{Roberts:2010:WGA:1921479.1921499}{84} +\bibcite{ronfard1994region}{85} +\bibcite{rumpf2001level}{86} +\bibcite{sanchezICASSP12}{87} +\bibcite{6288187}{88} +\bibcite{sethian1996fast}{89} +\bibcite{kmeansgpuopengl}{90} +\bibcite{shi2000normalized}{91} +\bibcite{snakegvfopencl12}{92} +\bibcite{convolutionsoup}{93} +\bibcite{graphcutscuda}{94} +\bibcite{strang1999discrete}{95} +\bibcite{sanchez2013highly}{96} +\bibcite{theuwissen2001ccd}{97} +\bibcite{710815}{98} +\bibcite{tukey77}{99} +\bibcite{van2004detection}{100} +\bibcite{vedaldi2008quick}{101} +\bibcite{4563095}{102} +\bibcite{Vineet:2009:FMS:1572769.1572796}{103} +\bibcite{volkov2010better}{104} +\bibcite{wang2001image}{105} +\bibcite{wang2003image}{106} +\bibcite{Wang04imagequality}{107} +\bibcite{wong2010demystifying}{108} +\bibcite{wu1993optimal}{109} +\bibcite{xiao2010efficient}{110} +\bibcite{5206542}{111} +\bibcite{Zahn:1971:GMD:1309266.1309359}{112} +\bibcite{zheng2011performance}{113} +\bibcite{zheng2012fast}{114} \citation{CUDAPG} \citation{CUDAPG} \citation{zheng2011performance} @@ -887,5 +895,6 @@ \citation{xiao2010efficient} \citation{snakegvf06} \citation{martin2001database} +\citation{Caselles99topographicmaps} \citation{wong2010demystifying} \citation{GallandBR03} diff --git a/THESE/these.bbl b/THESE/these.bbl index 6abdf9b..4c1cf09 100644 --- a/THESE/these.bbl +++ b/THESE/these.bbl @@ -265,6 +265,12 @@ Bart Goossens, Hiêp Luong, Jan Aelterman, Aleksandra Pižurica, and Wilfried Systems}, volume 6475 of {\em Lecture Notes in Computer Science}, pages 46--57. Springer Berlin Heidelberg, 2010. +\bibitem{haralick1987image} +Robert~M Haralick, Stanley~R Sternberg, and Xinhua Zhuang. +\newblock Image analysis using mathematical morphology. +\newblock {\em Pattern Analysis and Machine Intelligence, IEEE Transactions + on}, (4):532--550, 1987. + \bibitem{snakegvf06} Zhiyu He and Falko Kuester. \newblock Gpu-based active contour segmentation using gradient vector flow. @@ -459,7 +465,7 @@ Gilles Perrot, St{\'e}phane Domas, and Rapha{\"e}l Couturier. \newblock {\em Journal of Signal Processing Systems}, pages 1--6, 2013. \bibitem{perrotlniv} -Gilles Perrot, Stéphane Domas, Raphaël Couturier, and Nicolas Bertaux. +Gilles Perrot, St{\'e}phane Domas, Rapha{\"e}l Couturier, and Nicolas Bertaux. \newblock Fast gpu-based denoising filter using isoline levels. \newblock {\em Journal of Real-Time Image Processing}, pages 1--12, 2013. diff --git a/THESE/these.blg b/THESE/these.blg index 9d923cc..af8fd72 100644 --- a/THESE/these.blg +++ b/THESE/these.blg @@ -9,47 +9,48 @@ Warning--empty journal in aldinucci2012parallel Warning--empty booktitle in caselles97 Warning--empty journal in cohen1993surface Warning--empty journal in dixit2005gpu +Warning--there's a number but no volume in haralick1987image Warning--can't use both volume and number fields in macqueen1967some Warning--can't use both volume and number fields in xiao2010efficient -You've used 113 entries, +You've used 114 entries, 2118 wiz_defined-function locations, - 1127 strings with 23256 characters, -and the built_in function-call counts, 42511 in all, are: -= -- 4269 -> -- 1806 + 1132 strings with 23397 characters, +and the built_in function-call counts, 42877 in all, are: += -- 4306 +> -- 1824 < -- 60 -+ -- 728 -- -- 592 -* -- 2892 -:= -- 6656 -add.period$ -- 361 -call.type$ -- 113 -change.case$ -- 616 ++ -- 735 +- -- 598 +* -- 2924 +:= -- 6717 +add.period$ -- 364 +call.type$ -- 114 +change.case$ -- 622 chr.to.int$ -- 0 -cite$ -- 122 -duplicate$ -- 1759 -empty$ -- 3435 -format.name$ -- 592 -if$ -- 9250 +cite$ -- 124 +duplicate$ -- 1770 +empty$ -- 3462 +format.name$ -- 598 +if$ -- 9323 int.to.chr$ -- 0 -int.to.str$ -- 113 -missing$ -- 113 -newline$ -- 564 -num.names$ -- 226 -pop$ -- 700 +int.to.str$ -- 114 +missing$ -- 114 +newline$ -- 569 +num.names$ -- 228 +pop$ -- 705 preamble$ -- 1 -purify$ -- 510 +purify$ -- 515 quote$ -- 0 -skip$ -- 1328 +skip$ -- 1333 stack$ -- 0 -substring$ -- 2866 -swap$ -- 548 +substring$ -- 2896 +swap$ -- 549 text.length$ -- 60 text.prefix$ -- 0 top$ -- 0 -type$ -- 438 -warning$ -- 9 -while$ -- 410 -width$ -- 116 -write$ -- 1258 -(There were 9 warnings) +type$ -- 442 +warning$ -- 10 +while$ -- 414 +width$ -- 117 +write$ -- 1269 +(There were 10 warnings) diff --git a/THESE/these.lof b/THESE/these.lof index 8692c79..897820c 100644 --- a/THESE/these.lof +++ b/THESE/these.lof @@ -132,102 +132,103 @@ \contentsline {subfigure}{\numberline {(a)}{\ignorespaces {D\IeC {\'e}termination de $j_L$ et $j_H$.}}}{73}{figure.6.12} \contentsline {subfigure}{\numberline {(b)}{\ignorespaces {D\IeC {\'e}termination de $i_L$ et $i_H$.}}}{73}{figure.6.12} \addvspace {10\p@ } -\contentsline {figure}{\numberline {7.1}{\ignorespaces D\IeC {\'e}tail des motifs et de leur repr\IeC {\'e}sentation interne, pour la taille $a=5$. }}{76}{figure.7.1} -\contentsline {subfigure}{\numberline {(a)}{\ignorespaces {Les 8 premi\IeC {\`e}res lignes de la table $P_5$. Les \IeC {\'e}l\IeC {\'e}ments sont les positions relatives des pixels de chaque motif par rapport au pixel central.}}}{76}{figure.7.1} -\contentsline {subfigure}{\numberline {(b)}{\ignorespaces {Motifs des 8 premiers segments associ\IeC {\'e}s aux 8 premi\IeC {\`e}res lignes de $P_5$. Les pixels noirs repr\IeC {\'e}sentent le pixel trait\IeC {\'e} (ou pixel central), qui n'appartient pas au motif. Les pixels gris sont ceux qui constituent le motif.}}}{76}{figure.7.1} -\contentsline {figure}{\numberline {7.2}{\ignorespaces Exemple de la r\IeC {\'e}partition des pixels dans la r\IeC {\'e}gion $\omega $ pour le calcul de la vraisemblance, pour $n=6$ ($a=5$).}}{77}{figure.7.2} -\contentsline {figure}{\numberline {7.3}{\ignorespaces Allongement du segment $S^n$. Deux candidats $S^{p'}$ et $S^{p''}$ sont \IeC {\'e}valu\IeC {\'e}s au travers du test GLRT de l'\IeC {\'e}quation \textsuperscript {\hbox {\mathsurround \z@ \normalfont (\ignorespaces \ref {GLRT}\unskip \@@italiccorr )}}\xspace que seul $S^{p''}$ s'av\IeC {\`e}re satisfaire. a) Repr\IeC {\'e}sentation dans le plan de l'image. b) \IeC {\'E}volution des niveaux de gris en fonction de la position des pixels dans les lignes bris\IeC {\'e}es ainsi form\IeC {\'e}es.}}{78}{figure.7.3} -\contentsline {figure}{\numberline {7.4}{\ignorespaces Processus de s\IeC {\'e}lection lors de l'allongement d'une isoline comportant initialement deux segments $s_1$ et $s_2$. Dans cet exemple $a=5$ et $\Delta d_{max}=2$. Chaque segment \IeC {\'e}valu\IeC {\'e} est soumis au test GLRT. Si au moins un des segments pr\IeC {\'e}sente un test GLRT positif, alors l'allongement est r\IeC {\'e}alis\IeC {\'e} avec le segment qui forme l'isoline la plus vraisemblable.}}{80}{figure.7.4} -\contentsline {subfigure}{\numberline {(a)}{\ignorespaces {Isoline comprenant deux segments $s_1$ et $s_2$.}}}{80}{figure.7.4} -\contentsline {subfigure}{\numberline {(b)}{\ignorespaces {Premier segment \IeC {\'e}valu\IeC {\'e}, associ\IeC {\'e} au motif $p_{5,0}$.}}}{80}{figure.7.4} -\contentsline {subfigure}{\numberline {(c)}{\ignorespaces {Deuxi\IeC {\`e}me segment \IeC {\'e}valu\IeC {\'e}, associ\IeC {\'e} au motif $p_{5,1}$.}}}{80}{figure.7.4} -\contentsline {subfigure}{\numberline {(d)}{\ignorespaces {Troisi\IeC {\`e}me segment \IeC {\'e}valu\IeC {\'e}, associ\IeC {\'e} au motif $p_{5,2}$.}}}{80}{figure.7.4} -\contentsline {subfigure}{\numberline {(e)}{\ignorespaces {Quatri\IeC {\`e}me segment \IeC {\'e}valu\IeC {\'e}, associ\IeC {\'e} au motif $p_{5,3}$.}}}{80}{figure.7.4} -\contentsline {subfigure}{\numberline {(f)}{\ignorespaces {Cinqui\IeC {\`e}me segment \IeC {\'e}valu\IeC {\'e}, associ\IeC {\'e} au motif $p_{5,4}$.}}}{80}{figure.7.4} -\contentsline {figure}{\numberline {7.5}{\ignorespaces Images non bruit\IeC {\'e}es de la base d'images en niveaux de gris de S. Lansel.}}{81}{figure.7.5} -\contentsline {subfigure}{\numberline {(a)}{\ignorespaces {airplane}}}{81}{figure.7.5} -\contentsline {subfigure}{\numberline {(b)}{\ignorespaces {boat}}}{81}{figure.7.5} -\contentsline {subfigure}{\numberline {(c)}{\ignorespaces {barbara}}}{81}{figure.7.5} -\contentsline {subfigure}{\numberline {(d)}{\ignorespaces {couple}}}{81}{figure.7.5} -\contentsline {subfigure}{\numberline {(e)}{\ignorespaces {elaine}}}{81}{figure.7.5} -\contentsline {subfigure}{\numberline {(f)}{\ignorespaces {fingerprint}}}{81}{figure.7.5} -\contentsline {subfigure}{\numberline {(g)}{\ignorespaces {goldhill}}}{81}{figure.7.5} -\contentsline {subfigure}{\numberline {(h)}{\ignorespaces {lena}}}{81}{figure.7.5} -\contentsline {subfigure}{\numberline {(i)}{\ignorespaces {man}}}{81}{figure.7.5} -\contentsline {subfigure}{\numberline {(j)}{\ignorespaces {mandrill}}}{81}{figure.7.5} -\contentsline {subfigure}{\numberline {(k)}{\ignorespaces {peppers}}}{81}{figure.7.5} -\contentsline {subfigure}{\numberline {(l)}{\ignorespaces {stream}}}{81}{figure.7.5} -\contentsline {subfigure}{\numberline {(m)}{\ignorespaces {zelda}}}{81}{figure.7.5} -\contentsline {figure}{\numberline {7.6}{\ignorespaces Histogramme des \IeC {\'e}carts angulaires entre la direction primaire de l'isoline optimale et celle du segment s\IeC {\'e}lectionn\IeC {\'e} par PI-LD avec $q=1$ (sans allongement), pour l'image du singe (Mandrill). Pour la tr\IeC {\`e}s grande majorit\IeC {\'e} des pixels, l'\IeC {\'e}cart est nul.}}{82}{figure.7.6} -\contentsline {figure}{\numberline {7.7}{\ignorespaces Histogrammes des \IeC {\'e}carts angulaires entre la direction primaire de l'isoline optimale et celle de l'isoline s\IeC {\'e}lectionn\IeC {\'e}e, pour les images de l'ensemble de test de S. Lansel. La r\IeC {\'e}partition des erreurs est semblable dans toutes ces images, mais \IeC {\'e}galement dans toute image naturelle.}}{82}{figure.7.7} -\contentsline {subfigure}{\numberline {(a)}{\ignorespaces {Airplane}}}{82}{figure.7.7} -\contentsline {subfigure}{\numberline {(b)}{\ignorespaces {Barbara}}}{82}{figure.7.7} -\contentsline {subfigure}{\numberline {(c)}{\ignorespaces {Boat}}}{82}{figure.7.7} -\contentsline {subfigure}{\numberline {(d)}{\ignorespaces {Couple}}}{82}{figure.7.7} -\contentsline {subfigure}{\numberline {(e)}{\ignorespaces {Elaine}}}{82}{figure.7.7} -\contentsline {subfigure}{\numberline {(f)}{\ignorespaces {Finger}}}{82}{figure.7.7} -\contentsline {subfigure}{\numberline {(g)}{\ignorespaces {Goldhill}}}{82}{figure.7.7} -\contentsline {subfigure}{\numberline {(h)}{\ignorespaces {Lena}}}{82}{figure.7.7} -\contentsline {subfigure}{\numberline {(i)}{\ignorespaces {Man}}}{82}{figure.7.7} -\contentsline {subfigure}{\numberline {(j)}{\ignorespaces {Peppers}}}{82}{figure.7.7} -\contentsline {subfigure}{\numberline {(k)}{\ignorespaces {Stream}}}{82}{figure.7.7} -\contentsline {subfigure}{\numberline {(l)}{\ignorespaces {Zelda}}}{82}{figure.7.7} -\contentsline {figure}{\numberline {7.8}{\ignorespaces Exemple d'application du proc\IeC {\'e}d\IeC {\'e} d'allongement \IeC {\`a} une isoline comprenant initialement 2 segments. la longueur des segments est $a=5$. Le proc\IeC {\'e}d\IeC {\'e} se r\IeC {\'e}p\IeC {\`e}te jusqu'\IeC {\`a} ce que le test GLRT \IeC {\'e}choue.}}{84}{figure.7.8} -\contentsline {subfigure}{\numberline {(a)}{\ignorespaces {Isoline avec 2 segments $s_1$ et $s_2$ d\IeC {\'e}j\IeC {\`a} valid\IeC {\'e}s.}}}{84}{figure.7.8} -\contentsline {subfigure}{\numberline {(b)}{\ignorespaces {La direction de $s_3$ est l'\IeC {\'e}l\IeC {\'e}ment $(i_2,j_2)$ de $I_{\Theta }$.}}}{84}{figure.7.8} -\contentsline {subfigure}{\numberline {(c)}{\ignorespaces {Le motif de $s_3$ est lu dans $p_5$ et appliqu\IeC {\'e} en $(i_2,j_2)$. $C_x$ et $C_{x^2}$ sont donn\IeC {\'e}es par $I_{\Sigma }(i_2,j_2)$ et le test GLRT est effectu\IeC {\'e}.}}}{84}{figure.7.8} -\contentsline {subfigure}{\numberline {(d)}{\ignorespaces {Si l'allongement est valid\IeC {\'e}, $s_3$ est d\IeC {\'e}finitivement int\IeC {\'e}gr\IeC {\'e}.}}}{84}{figure.7.8} -\contentsline {figure}{\numberline {7.9}{\ignorespaces Situation de la r\IeC {\'e}gion servant \IeC {\`a} illustrer le comportant du mod\IeC {\`e}le PI-PD dans les zones \IeC {\`a} faible pente (LSR).}}{87}{figure.7.9} -\contentsline {subfigure}{\numberline {(a)}{\ignorespaces {Image de r\IeC {\'e}f\IeC {\'e}rence non bruit\IeC {\'e}e.}}}{87}{figure.7.9} -\contentsline {subfigure}{\numberline {(b)}{\ignorespaces {La r\IeC {\'e}gion de 11$\times $11 pixels \IeC {\'e}tudi\IeC {\'e}e.}}}{87}{figure.7.9} -\contentsline {figure}{\numberline {7.10}{\ignorespaces Comportement du mod\IeC {\`e}le PI-PD dans les zones de faible et \IeC {\`a} forte pente. On constate un manque de robustesse dans les zones \IeC {\`a} faible pente : les directions ne sont pas reproduites d'un tirage \IeC {\`a} l'autre, contrairement \IeC {\`a} celles de la zone de transition.}}{88}{figure.7.10} -\contentsline {subfigure}{\numberline {(a)}{\ignorespaces {Image de r\IeC {\'e}f\IeC {\'e}rence.}}}{88}{figure.7.10} -\contentsline {subfigure}{\numberline {(b)}{\ignorespaces {Image corrompue par le tirage de bruit $n^{\circ }1$}}}{88}{figure.7.10} -\contentsline {subfigure}{\numberline {(c)}{\ignorespaces {Image corrompue par le tirage de bruit $n^{\circ }2$}}}{88}{figure.7.10} -\contentsline {subfigure}{\numberline {(d)}{\ignorespaces {Directions d\IeC {\'e}termin\IeC {\'e}es par le PI-PD pour le tirage $n^{\circ }1$}}}{88}{figure.7.10} -\contentsline {subfigure}{\numberline {(e)}{\ignorespaces {Directions d\IeC {\'e}termin\IeC {\'e}e par le PI-PD pour le tirage $n^{\circ }2$}}}{88}{figure.7.10} -\contentsline {figure}{\numberline {7.11}{\ignorespaces Motif de d\IeC {\'e}tection des zones \IeC {\`a} faible pente, pour le cas $\Theta =\Theta _4=45^{\circ }$. L'\IeC {\'e}l\IeC {\'e}vation des pixels permet juste de les distinguer selon 3 classes : l'\IeC {\'e}l\IeC {\'e}vation 1 est associ\IeC {\'e}e aux pixels de la r\IeC {\'e}gion $T$, l'\IeC {\'e}l\IeC {\'e}vation 0.5 est associ\IeC {\'e}e \IeC {\`a} ceux de la r\IeC {\'e}gion $B$ et l'\IeC {\'e}l\IeC {\'e}vation 0 d\IeC {\'e}signe les pixels n'intervenant pas dans la d\IeC {\'e}tection.}}{89}{figure.7.11} -\contentsline {figure}{\numberline {7.12}{\ignorespaces Classification des pixels d'une image bruit\IeC {\'e}e, pour une valeur de seuil $T2=2$ du d\IeC {\'e}tecteur. (b) Les pixels en noir sont ceux \IeC {\`a} qui le PI-PD sera appliqu\IeC {\'e}. Les pixels gris se verront appliquer une moyenne sur tout ou partie du voisinage.}}{89}{figure.7.12} -\contentsline {subfigure}{\numberline {(a)}{\ignorespaces {Image bruit\IeC {\'e}e}}}{89}{figure.7.12} -\contentsline {subfigure}{\numberline {(b)}{\ignorespaces {Classification des pixels. }}}{89}{figure.7.12} -\contentsline {figure}{\numberline {7.13}{\ignorespaces Comparaison des rendus des traitements compar\IeC {\'e}s. Rang\IeC {\'e}e du haut : les images compl\IeC {\`e}tes. Rang\IeC {\'e}e du bas : Zooms sur une zone de l'\IeC {\'\i }mage au dessus.}}{90}{figure.7.13} -\contentsline {subfigure}{\numberline {(a)}{\ignorespaces {Image \textit {airplane} bruit\IeC {\'e}e.}}}{90}{figure.7.13} -\contentsline {subfigure}{\numberline {(b)}{\ignorespaces {Image \textit {airplane} filtr\IeC {\'e}e par moyenneur 5$\times $5.}}}{90}{figure.7.13} -\contentsline {subfigure}{\numberline {(c)}{\ignorespaces {Image \textit {airplane} filtr\IeC {\'e}e par PI-PD hybride avec $a=5$, $q=5$, $T_{max}=2$ et $T2_{max}=2$.}}}{90}{figure.7.13} -\contentsline {subfigure}{\numberline {(d)}{\ignorespaces {Image \textit {airplane} filtr\IeC {\'e}e par BM3D.}}}{90}{figure.7.13} -\contentsline {figure}{\numberline {7.14}{\ignorespaces Images non bruit\IeC {\'e}es de la base tid2008.}}{92}{figure.7.14} -\contentsline {subfigure}{\numberline {(a)}{\ignorespaces {I01}}}{92}{figure.7.14} -\contentsline {subfigure}{\numberline {(b)}{\ignorespaces {I02}}}{92}{figure.7.14} -\contentsline {subfigure}{\numberline {(c)}{\ignorespaces {I03}}}{92}{figure.7.14} -\contentsline {subfigure}{\numberline {(d)}{\ignorespaces {I04}}}{92}{figure.7.14} -\contentsline {subfigure}{\numberline {(e)}{\ignorespaces {I05}}}{92}{figure.7.14} -\contentsline {subfigure}{\numberline {(f)}{\ignorespaces {I06}}}{92}{figure.7.14} -\contentsline {subfigure}{\numberline {(g)}{\ignorespaces {I07}}}{92}{figure.7.14} -\contentsline {subfigure}{\numberline {(h)}{\ignorespaces {I08}}}{92}{figure.7.14} -\contentsline {subfigure}{\numberline {(i)}{\ignorespaces {I09}}}{92}{figure.7.14} -\contentsline {subfigure}{\numberline {(j)}{\ignorespaces {I10}}}{92}{figure.7.14} -\contentsline {subfigure}{\numberline {(k)}{\ignorespaces {I11}}}{92}{figure.7.14} -\contentsline {subfigure}{\numberline {(l)}{\ignorespaces {I12}}}{92}{figure.7.14} -\contentsline {subfigure}{\numberline {(m)}{\ignorespaces {I13}}}{92}{figure.7.14} -\contentsline {subfigure}{\numberline {(n)}{\ignorespaces {I14}}}{92}{figure.7.14} -\contentsline {subfigure}{\numberline {(o)}{\ignorespaces {I15}}}{92}{figure.7.14} -\contentsline {subfigure}{\numberline {(p)}{\ignorespaces {I16}}}{92}{figure.7.14} -\contentsline {subfigure}{\numberline {(q)}{\ignorespaces {I17}}}{92}{figure.7.14} -\contentsline {subfigure}{\numberline {(r)}{\ignorespaces {I18}}}{92}{figure.7.14} -\contentsline {subfigure}{\numberline {(s)}{\ignorespaces {I19}}}{92}{figure.7.14} -\contentsline {subfigure}{\numberline {(t)}{\ignorespaces {I20}}}{92}{figure.7.14} -\contentsline {subfigure}{\numberline {(u)}{\ignorespaces {I21}}}{92}{figure.7.14} -\contentsline {subfigure}{\numberline {(v)}{\ignorespaces {I22}}}{92}{figure.7.14} -\contentsline {subfigure}{\numberline {(w)}{\ignorespaces {I23}}}{92}{figure.7.14} -\contentsline {subfigure}{\numberline {(x)}{\ignorespaces {I24}}}{92}{figure.7.14} -\contentsline {subfigure}{\numberline {(y)}{\ignorespaces {I25}}}{92}{figure.7.14} -\contentsline {figure}{\numberline {7.15}{\ignorespaces Exemples de r\IeC {\'e}sultat de traitement par PI-PD RVB et par CBM3D pour deux images de la base tid2008 (une image naturelle et l'image de synth\IeC {\`e}se). Il peut \IeC {\^e}tre n\IeC {\'e}cessaire de zoomer sur le document num\IeC {\'e}rique pour visualiser les d\IeC {\'e}tails.}}{93}{figure.7.15} -\contentsline {subfigure}{\numberline {(a)}{\ignorespaces {Image I09 bruit\IeC {\'e}e, PSNR-HVS-M=23,70~dB.}}}{93}{figure.7.15} -\contentsline {subfigure}{\numberline {(b)}{\ignorespaces {Image I09 filtr\IeC {\'e}e par PI-PD, PSNR-HVS-M=27,62~dB.}}}{93}{figure.7.15} -\contentsline {subfigure}{\numberline {(c)}{\ignorespaces {Image I09 filtr\IeC {\'e}e par CBM3D, PSNR-HVS-M=33,26~dB.}}}{93}{figure.7.15} -\contentsline {subfigure}{\numberline {(d)}{\ignorespaces {Image I25 bruit\IeC {\'e}e, PSNR-HVS-M=24,46~dB.}}}{93}{figure.7.15} -\contentsline {subfigure}{\numberline {(e)}{\ignorespaces {Image I25 filtr\IeC {\'e}e par PI-PD, PSNR-HVS-M=24,62~dB.}}}{93}{figure.7.15} -\contentsline {subfigure}{\numberline {(f)}{\ignorespaces {Image I25 filtr\IeC {\'e}e par CBM3D, PSNR-HVS-M=31,09~dB.}}}{93}{figure.7.15} +\contentsline {figure}{\numberline {7.1}{\ignorespaces Exemple d'exploitation des lignes de niveaux. En haut : l'image originale et sa repr\IeC {\'e}sentation \IeC {\`a} l'\IeC {\'e}chelle $\times $150. En bas : les lignes de niveaux de l'image originale et celles utilis\IeC {\'e}es pour la mise \IeC {\`a} l'\IeC {\'e}chelle. Toutes les lignes de niveaux de l'image de droite existent \IeC {\`a} l'identique dans l'ensemble original. Illustration tir\IeC {\'e}e de \cite {Caselles99topographicmaps}.}}{76}{figure.7.1} +\contentsline {figure}{\numberline {7.2}{\ignorespaces D\IeC {\'e}tail des motifs et de leur repr\IeC {\'e}sentation interne, pour la taille $a=5$. }}{77}{figure.7.2} +\contentsline {subfigure}{\numberline {(a)}{\ignorespaces {Les 8 premi\IeC {\`e}res lignes de la table $P_5$. Les \IeC {\'e}l\IeC {\'e}ments sont les positions relatives des pixels de chaque motif par rapport au pixel central.}}}{77}{figure.7.2} +\contentsline {subfigure}{\numberline {(b)}{\ignorespaces {Motifs des 8 premiers segments associ\IeC {\'e}s aux 8 premi\IeC {\`e}res lignes de $P_5$. Les pixels noirs repr\IeC {\'e}sentent le pixel trait\IeC {\'e} (ou pixel central), qui n'appartient pas au motif. Les pixels gris sont ceux qui constituent le motif.}}}{77}{figure.7.2} +\contentsline {figure}{\numberline {7.3}{\ignorespaces Exemple de la r\IeC {\'e}partition des pixels dans la r\IeC {\'e}gion $\omega $ pour le calcul de la vraisemblance, pour $n=6$ ($a=5$).}}{78}{figure.7.3} +\contentsline {figure}{\numberline {7.4}{\ignorespaces Allongement du segment $S^n$. Deux candidats $S^{p'}$ et $S^{p''}$ sont \IeC {\'e}valu\IeC {\'e}s au travers du test GLRT de l'\IeC {\'e}quation \textsuperscript {\hbox {\mathsurround \z@ \normalfont (\ignorespaces \ref {GLRT}\unskip \@@italiccorr )}}\xspace que seul $S^{p''}$ s'av\IeC {\`e}re satisfaire. a) Repr\IeC {\'e}sentation dans le plan de l'image. b) \IeC {\'E}volution des niveaux de gris en fonction de la position des pixels dans les lignes bris\IeC {\'e}es ainsi form\IeC {\'e}es.}}{79}{figure.7.4} +\contentsline {figure}{\numberline {7.5}{\ignorespaces Processus de s\IeC {\'e}lection lors de l'allongement d'une isoline comportant initialement deux segments $s_1$ et $s_2$. Dans cet exemple $a=5$ et $\Delta d_{max}=2$. Chaque segment \IeC {\'e}valu\IeC {\'e} est soumis au test GLRT. Si au moins un des segments pr\IeC {\'e}sente un test GLRT positif, alors l'allongement est r\IeC {\'e}alis\IeC {\'e} avec le segment qui forme l'isoline la plus vraisemblable.}}{81}{figure.7.5} +\contentsline {subfigure}{\numberline {(a)}{\ignorespaces {Isoline comprenant deux segments $s_1$ et $s_2$.}}}{81}{figure.7.5} +\contentsline {subfigure}{\numberline {(b)}{\ignorespaces {Premier segment \IeC {\'e}valu\IeC {\'e}, associ\IeC {\'e} au motif $p_{5,0}$.}}}{81}{figure.7.5} +\contentsline {subfigure}{\numberline {(c)}{\ignorespaces {Deuxi\IeC {\`e}me segment \IeC {\'e}valu\IeC {\'e}, associ\IeC {\'e} au motif $p_{5,1}$.}}}{81}{figure.7.5} +\contentsline {subfigure}{\numberline {(d)}{\ignorespaces {Troisi\IeC {\`e}me segment \IeC {\'e}valu\IeC {\'e}, associ\IeC {\'e} au motif $p_{5,2}$.}}}{81}{figure.7.5} +\contentsline {subfigure}{\numberline {(e)}{\ignorespaces {Quatri\IeC {\`e}me segment \IeC {\'e}valu\IeC {\'e}, associ\IeC {\'e} au motif $p_{5,3}$.}}}{81}{figure.7.5} +\contentsline {subfigure}{\numberline {(f)}{\ignorespaces {Cinqui\IeC {\`e}me segment \IeC {\'e}valu\IeC {\'e}, associ\IeC {\'e} au motif $p_{5,4}$.}}}{81}{figure.7.5} +\contentsline {figure}{\numberline {7.6}{\ignorespaces Images non bruit\IeC {\'e}es de la base d'images en niveaux de gris de S. Lansel.}}{82}{figure.7.6} +\contentsline {subfigure}{\numberline {(a)}{\ignorespaces {airplane}}}{82}{figure.7.6} +\contentsline {subfigure}{\numberline {(b)}{\ignorespaces {boat}}}{82}{figure.7.6} +\contentsline {subfigure}{\numberline {(c)}{\ignorespaces {barbara}}}{82}{figure.7.6} +\contentsline {subfigure}{\numberline {(d)}{\ignorespaces {couple}}}{82}{figure.7.6} +\contentsline {subfigure}{\numberline {(e)}{\ignorespaces {elaine}}}{82}{figure.7.6} +\contentsline {subfigure}{\numberline {(f)}{\ignorespaces {fingerprint}}}{82}{figure.7.6} +\contentsline {subfigure}{\numberline {(g)}{\ignorespaces {goldhill}}}{82}{figure.7.6} +\contentsline {subfigure}{\numberline {(h)}{\ignorespaces {lena}}}{82}{figure.7.6} +\contentsline {subfigure}{\numberline {(i)}{\ignorespaces {man}}}{82}{figure.7.6} +\contentsline {subfigure}{\numberline {(j)}{\ignorespaces {mandrill}}}{82}{figure.7.6} +\contentsline {subfigure}{\numberline {(k)}{\ignorespaces {peppers}}}{82}{figure.7.6} +\contentsline {subfigure}{\numberline {(l)}{\ignorespaces {stream}}}{82}{figure.7.6} +\contentsline {subfigure}{\numberline {(m)}{\ignorespaces {zelda}}}{82}{figure.7.6} +\contentsline {figure}{\numberline {7.7}{\ignorespaces Histogramme des \IeC {\'e}carts angulaires entre la direction primaire de l'isoline optimale et celle du segment s\IeC {\'e}lectionn\IeC {\'e} par PI-LD avec $q=1$ (sans allongement), pour l'image du singe (Mandrill). Pour la tr\IeC {\`e}s grande majorit\IeC {\'e} des pixels, l'\IeC {\'e}cart est nul.}}{83}{figure.7.7} +\contentsline {figure}{\numberline {7.8}{\ignorespaces Histogrammes des \IeC {\'e}carts angulaires entre la direction primaire de l'isoline optimale et celle de l'isoline s\IeC {\'e}lectionn\IeC {\'e}e, pour les images de l'ensemble de test de S. Lansel. La r\IeC {\'e}partition des erreurs est semblable dans toutes ces images, mais \IeC {\'e}galement dans toute image naturelle.}}{83}{figure.7.8} +\contentsline {subfigure}{\numberline {(a)}{\ignorespaces {Airplane}}}{83}{figure.7.8} +\contentsline {subfigure}{\numberline {(b)}{\ignorespaces {Barbara}}}{83}{figure.7.8} +\contentsline {subfigure}{\numberline {(c)}{\ignorespaces {Boat}}}{83}{figure.7.8} +\contentsline {subfigure}{\numberline {(d)}{\ignorespaces {Couple}}}{83}{figure.7.8} +\contentsline {subfigure}{\numberline {(e)}{\ignorespaces {Elaine}}}{83}{figure.7.8} +\contentsline {subfigure}{\numberline {(f)}{\ignorespaces {Finger}}}{83}{figure.7.8} +\contentsline {subfigure}{\numberline {(g)}{\ignorespaces {Goldhill}}}{83}{figure.7.8} +\contentsline {subfigure}{\numberline {(h)}{\ignorespaces {Lena}}}{83}{figure.7.8} +\contentsline {subfigure}{\numberline {(i)}{\ignorespaces {Man}}}{83}{figure.7.8} +\contentsline {subfigure}{\numberline {(j)}{\ignorespaces {Peppers}}}{83}{figure.7.8} +\contentsline {subfigure}{\numberline {(k)}{\ignorespaces {Stream}}}{83}{figure.7.8} +\contentsline {subfigure}{\numberline {(l)}{\ignorespaces {Zelda}}}{83}{figure.7.8} +\contentsline {figure}{\numberline {7.9}{\ignorespaces Exemple d'application du proc\IeC {\'e}d\IeC {\'e} d'allongement \IeC {\`a} une isoline comprenant initialement 2 segments. la longueur des segments est $a=5$. Le proc\IeC {\'e}d\IeC {\'e} se r\IeC {\'e}p\IeC {\`e}te jusqu'\IeC {\`a} ce que le test GLRT \IeC {\'e}choue.}}{85}{figure.7.9} +\contentsline {subfigure}{\numberline {(a)}{\ignorespaces {Isoline avec 2 segments $s_1$ et $s_2$ d\IeC {\'e}j\IeC {\`a} valid\IeC {\'e}s.}}}{85}{figure.7.9} +\contentsline {subfigure}{\numberline {(b)}{\ignorespaces {La direction de $s_3$ est l'\IeC {\'e}l\IeC {\'e}ment $(i_2,j_2)$ de $I_{\Theta }$.}}}{85}{figure.7.9} +\contentsline {subfigure}{\numberline {(c)}{\ignorespaces {Le motif de $s_3$ est lu dans $p_5$ et appliqu\IeC {\'e} en $(i_2,j_2)$. $C_x$ et $C_{x^2}$ sont donn\IeC {\'e}es par $I_{\Sigma }(i_2,j_2)$ et le test GLRT est effectu\IeC {\'e}.}}}{85}{figure.7.9} +\contentsline {subfigure}{\numberline {(d)}{\ignorespaces {Si l'allongement est valid\IeC {\'e}, $s_3$ est d\IeC {\'e}finitivement int\IeC {\'e}gr\IeC {\'e}.}}}{85}{figure.7.9} +\contentsline {figure}{\numberline {7.10}{\ignorespaces Situation de la r\IeC {\'e}gion servant \IeC {\`a} illustrer le comportant du mod\IeC {\`e}le PI-PD dans les zones \IeC {\`a} faible pente (LSR).}}{88}{figure.7.10} +\contentsline {subfigure}{\numberline {(a)}{\ignorespaces {Image de r\IeC {\'e}f\IeC {\'e}rence non bruit\IeC {\'e}e.}}}{88}{figure.7.10} +\contentsline {subfigure}{\numberline {(b)}{\ignorespaces {La r\IeC {\'e}gion de 11$\times $11 pixels \IeC {\'e}tudi\IeC {\'e}e.}}}{88}{figure.7.10} +\contentsline {figure}{\numberline {7.11}{\ignorespaces Comportement du mod\IeC {\`e}le PI-PD dans les zones de faible et \IeC {\`a} forte pente. On constate un manque de robustesse dans les zones \IeC {\`a} faible pente : les directions ne sont pas reproduites d'un tirage \IeC {\`a} l'autre, contrairement \IeC {\`a} celles de la zone de transition.}}{89}{figure.7.11} +\contentsline {subfigure}{\numberline {(a)}{\ignorespaces {Image de r\IeC {\'e}f\IeC {\'e}rence.}}}{89}{figure.7.11} +\contentsline {subfigure}{\numberline {(b)}{\ignorespaces {Image corrompue par le tirage de bruit $n^{\circ }1$}}}{89}{figure.7.11} +\contentsline {subfigure}{\numberline {(c)}{\ignorespaces {Image corrompue par le tirage de bruit $n^{\circ }2$}}}{89}{figure.7.11} +\contentsline {subfigure}{\numberline {(d)}{\ignorespaces {Directions d\IeC {\'e}termin\IeC {\'e}es par le PI-PD pour le tirage $n^{\circ }1$}}}{89}{figure.7.11} +\contentsline {subfigure}{\numberline {(e)}{\ignorespaces {Directions d\IeC {\'e}termin\IeC {\'e}e par le PI-PD pour le tirage $n^{\circ }2$}}}{89}{figure.7.11} +\contentsline {figure}{\numberline {7.12}{\ignorespaces Motif de d\IeC {\'e}tection des zones \IeC {\`a} faible pente, pour le cas $\Theta =\Theta _4=45^{\circ }$. L'\IeC {\'e}l\IeC {\'e}vation des pixels permet juste de les distinguer selon 3 classes : l'\IeC {\'e}l\IeC {\'e}vation 1 est associ\IeC {\'e}e aux pixels de la r\IeC {\'e}gion $T$, l'\IeC {\'e}l\IeC {\'e}vation 0.5 est associ\IeC {\'e}e \IeC {\`a} ceux de la r\IeC {\'e}gion $B$ et l'\IeC {\'e}l\IeC {\'e}vation 0 d\IeC {\'e}signe les pixels n'intervenant pas dans la d\IeC {\'e}tection.}}{90}{figure.7.12} +\contentsline {figure}{\numberline {7.13}{\ignorespaces Classification des pixels d'une image bruit\IeC {\'e}e, pour une valeur de seuil $T2=2$ du d\IeC {\'e}tecteur. (b) Les pixels en noir sont ceux \IeC {\`a} qui le PI-PD sera appliqu\IeC {\'e}. Les pixels gris se verront appliquer une moyenne sur tout ou partie du voisinage.}}{90}{figure.7.13} +\contentsline {subfigure}{\numberline {(a)}{\ignorespaces {Image bruit\IeC {\'e}e}}}{90}{figure.7.13} +\contentsline {subfigure}{\numberline {(b)}{\ignorespaces {Classification des pixels. }}}{90}{figure.7.13} +\contentsline {figure}{\numberline {7.14}{\ignorespaces Comparaison des rendus des traitements compar\IeC {\'e}s. Rang\IeC {\'e}e du haut : les images compl\IeC {\`e}tes. Rang\IeC {\'e}e du bas : Zooms sur une zone de l'\IeC {\'\i }mage au dessus.}}{91}{figure.7.14} +\contentsline {subfigure}{\numberline {(a)}{\ignorespaces {Image \textit {airplane} bruit\IeC {\'e}e.}}}{91}{figure.7.14} +\contentsline {subfigure}{\numberline {(b)}{\ignorespaces {Image \textit {airplane} filtr\IeC {\'e}e par moyenneur 5$\times $5.}}}{91}{figure.7.14} +\contentsline {subfigure}{\numberline {(c)}{\ignorespaces {Image \textit {airplane} filtr\IeC {\'e}e par PI-PD hybride avec $a=5$, $q=5$, $T_{max}=2$ et $T2_{max}=2$.}}}{91}{figure.7.14} +\contentsline {subfigure}{\numberline {(d)}{\ignorespaces {Image \textit {airplane} filtr\IeC {\'e}e par BM3D.}}}{91}{figure.7.14} +\contentsline {figure}{\numberline {7.15}{\ignorespaces Images non bruit\IeC {\'e}es de la base tid2008.}}{93}{figure.7.15} +\contentsline {subfigure}{\numberline {(a)}{\ignorespaces {I01}}}{93}{figure.7.15} +\contentsline {subfigure}{\numberline {(b)}{\ignorespaces {I02}}}{93}{figure.7.15} +\contentsline {subfigure}{\numberline {(c)}{\ignorespaces {I03}}}{93}{figure.7.15} +\contentsline {subfigure}{\numberline {(d)}{\ignorespaces {I04}}}{93}{figure.7.15} +\contentsline {subfigure}{\numberline {(e)}{\ignorespaces {I05}}}{93}{figure.7.15} +\contentsline {subfigure}{\numberline {(f)}{\ignorespaces {I06}}}{93}{figure.7.15} +\contentsline {subfigure}{\numberline {(g)}{\ignorespaces {I07}}}{93}{figure.7.15} +\contentsline {subfigure}{\numberline {(h)}{\ignorespaces {I08}}}{93}{figure.7.15} +\contentsline {subfigure}{\numberline {(i)}{\ignorespaces {I09}}}{93}{figure.7.15} +\contentsline {subfigure}{\numberline {(j)}{\ignorespaces {I10}}}{93}{figure.7.15} +\contentsline {subfigure}{\numberline {(k)}{\ignorespaces {I11}}}{93}{figure.7.15} +\contentsline {subfigure}{\numberline {(l)}{\ignorespaces {I12}}}{93}{figure.7.15} +\contentsline {subfigure}{\numberline {(m)}{\ignorespaces {I13}}}{93}{figure.7.15} +\contentsline {subfigure}{\numberline {(n)}{\ignorespaces {I14}}}{93}{figure.7.15} +\contentsline {subfigure}{\numberline {(o)}{\ignorespaces {I15}}}{93}{figure.7.15} +\contentsline {subfigure}{\numberline {(p)}{\ignorespaces {I16}}}{93}{figure.7.15} +\contentsline {subfigure}{\numberline {(q)}{\ignorespaces {I17}}}{93}{figure.7.15} +\contentsline {subfigure}{\numberline {(r)}{\ignorespaces {I18}}}{93}{figure.7.15} +\contentsline {subfigure}{\numberline {(s)}{\ignorespaces {I19}}}{93}{figure.7.15} +\contentsline {subfigure}{\numberline {(t)}{\ignorespaces {I20}}}{93}{figure.7.15} +\contentsline {subfigure}{\numberline {(u)}{\ignorespaces {I21}}}{93}{figure.7.15} +\contentsline {subfigure}{\numberline {(v)}{\ignorespaces {I22}}}{93}{figure.7.15} +\contentsline {subfigure}{\numberline {(w)}{\ignorespaces {I23}}}{93}{figure.7.15} +\contentsline {subfigure}{\numberline {(x)}{\ignorespaces {I24}}}{93}{figure.7.15} +\contentsline {subfigure}{\numberline {(y)}{\ignorespaces {I25}}}{93}{figure.7.15} +\contentsline {figure}{\numberline {7.16}{\ignorespaces Exemples de r\IeC {\'e}sultat de traitement par PI-PD RVB et par CBM3D pour deux images de la base tid2008 (une image naturelle et l'image de synth\IeC {\`e}se). Il peut \IeC {\^e}tre n\IeC {\'e}cessaire de zoomer sur le document num\IeC {\'e}rique pour visualiser les d\IeC {\'e}tails.}}{94}{figure.7.16} +\contentsline {subfigure}{\numberline {(a)}{\ignorespaces {Image I09 bruit\IeC {\'e}e, PSNR-HVS-M=23,70~dB.}}}{94}{figure.7.16} +\contentsline {subfigure}{\numberline {(b)}{\ignorespaces {Image I09 filtr\IeC {\'e}e par PI-PD, PSNR-HVS-M=27,62~dB.}}}{94}{figure.7.16} +\contentsline {subfigure}{\numberline {(c)}{\ignorespaces {Image I09 filtr\IeC {\'e}e par CBM3D, PSNR-HVS-M=33,26~dB.}}}{94}{figure.7.16} +\contentsline {subfigure}{\numberline {(d)}{\ignorespaces {Image I25 bruit\IeC {\'e}e, PSNR-HVS-M=24,46~dB.}}}{94}{figure.7.16} +\contentsline {subfigure}{\numberline {(e)}{\ignorespaces {Image I25 filtr\IeC {\'e}e par PI-PD, PSNR-HVS-M=24,62~dB.}}}{94}{figure.7.16} +\contentsline {subfigure}{\numberline {(f)}{\ignorespaces {Image I25 filtr\IeC {\'e}e par CBM3D, PSNR-HVS-M=31,09~dB.}}}{94}{figure.7.16} \addvspace {10\p@ } \contentsline {figure}{\numberline {8.1}{\ignorespaces Application de la s\IeC {\'e}lection de m\IeC {\'e}diane par oubli \IeC {\`a} une fen\IeC {\^e}tre de $3\times 3$ pixels. }}{103}{figure.8.1} \contentsline {figure}{\numberline {8.2}{\ignorespaces Premi\IeC {\`e}re \IeC {\'e}tape d'identification des extrema pour un filtre 5$\times $5, avec maximisation de l'ILP (Instruction Level Parallelism) pour l'identification des extrema.}}{103}{figure.8.2} diff --git a/THESE/these.log b/THESE/these.log index 96fab07..27c8fda 100644 --- a/THESE/these.log +++ b/THESE/these.log @@ -1,4 +1,4 @@ -This is pdfTeX, Version 3.1415926-1.40.10 (TeX Live 2009/Debian) (format=pdflatex 2012.12.6) 7 APR 2014 13:51 +This is pdfTeX, Version 3.1415926-1.40.10 (TeX Live 2009/Debian) (format=pdflatex 2012.12.6) 13 JUN 2014 08:17 entering extended mode %&-line parsing enabled. **these.tex @@ -2616,152 +2616,156 @@ Underfull \vbox (badness 10000) has occurred while \output is active [] [75 ] - + +File: Chapters/chapter4/img/levellines-monasse.png Graphic file (type png) + +Overfull \hbox (3.43451pt too wide) has occurred while \output is active +\T1/phv/m/n/10.95 76 \T1/phv/m/sl/10.95 CHAPITRE 7. RÉDUCTION DE BRUIT PAR REC +HERCHE DES LIGNES DE NIVEAUX + [] + +[76 <./Chapters/chapter4/img/levellines-monasse.png (PNG copy)>] + File: Chapters/chapter4/img/P5Q1.jpg Graphic file (type jpg) - + File: Chapters/chapter4/img/illustration_mv.jpg Graphic file (type jpg) LaTeX Warning: `h' float specifier changed to `ht'. - +[77 <./Chapters/chapter4/img/P5Q1.jpg>] Overfull \hbox (3.43451pt too wide) has occurred while \output is active -\T1/phv/m/n/10.95 76 \T1/phv/m/sl/10.95 CHAPITRE 7. RÉDUCTION DE BRUIT PAR REC +\T1/phv/m/n/10.95 78 \T1/phv/m/sl/10.95 CHAPITRE 7. RÉDUCTION DE BRUIT PAR REC HERCHE DES LIGNES DE NIVEAUX [] -[76 <./Chapters/chapter4/img/P5Q1.jpg>] [77 <./Chapters/chapter4/img/illustrati -on_mv.jpg>] -] + File: Chapters/chapter4/img/exemple_extension_1.jpg Graphic file (type jpg) - + [79 <./Chapters/chapter4/i +mg/exemple_extension_1.jpg>] Overfull \hbox (3.43451pt too wide) has occurred while \output is active -\T1/phv/m/n/10.95 78 \T1/phv/m/sl/10.95 CHAPITRE 7. RÉDUCTION DE BRUIT PAR REC +\T1/phv/m/n/10.95 80 \T1/phv/m/sl/10.95 CHAPITRE 7. RÉDUCTION DE BRUIT PAR REC HERCHE DES LIGNES DE NIVEAUX [] -[78 <./Chapters/chapter4/img/exemple_extension_1.jpg>] -Overfull \hbox (19.69516pt too wide) has occurred while \output is active -\T1/phv/m/sl/10.95 7.3. MODÉLISATION DES ISOLINES POUR L'IMPLÉMENTATION PARALL -ÈLE SUR GPU \T1/phv/m/n/10.95 79 - [] - -[79] - +[80] + File: Chapters/chapter4/img/PI-LD_detail_3.jpg Graphic file (type jpg) -Underfull \hbox (badness 10000) in paragraph at lines 162--162 +Underfull \hbox (badness 10000) in paragraph at lines 179--179 []\T1/phv/m/n/9 (a) Iso-line com-pre-nant [] - + File: Chapters/chapter4/img/PI-LD_detail_sub1.jpg Graphic file (type jpg) -Underfull \hbox (badness 10000) in paragraph at lines 163--163 +Underfull \hbox (badness 10000) in paragraph at lines 180--180 []\T1/phv/m/n/9 (b) Pre-mier seg-ment [] - + File: Chapters/chapter4/img/PI-LD_detail_sub2.jpg Graphic file (type jpg) -Underfull \hbox (badness 4543) in paragraph at lines 164--164 +Underfull \hbox (badness 4543) in paragraph at lines 181--181 []\T1/phv/m/n/9 (c) Deuxième seg-ment [] - + File: Chapters/chapter4/img/PI-LD_detail_sub3.jpg Graphic file (type jpg) -Underfull \hbox (badness 7777) in paragraph at lines 165--165 +Underfull \hbox (badness 7777) in paragraph at lines 182--182 []\T1/phv/m/n/9 (d) Troi-sième seg-ment [] - + File: Chapters/chapter4/img/PI-LD_detail_sub4.jpg Graphic file (type jpg) -Underfull \hbox (badness 1803) in paragraph at lines 166--166 +Underfull \hbox (badness 1803) in paragraph at lines 183--183 []\T1/phv/m/n/9 (e) Qua-trième seg-ment [] - + File: Chapters/chapter4/img/PI-LD_detail_sub5.jpg Graphic file (type jpg) -Underfull \hbox (badness 3746) in paragraph at lines 167--167 +Underfull \hbox (badness 3746) in paragraph at lines 184--184 []\T1/phv/m/n/9 (f) Cin-quième seg-ment [] -Overfull \hbox (3.43451pt too wide) has occurred while \output is active -\T1/phv/m/n/10.95 80 \T1/phv/m/sl/10.95 CHAPITRE 7. RÉDUCTION DE BRUIT PAR REC -HERCHE DES LIGNES DE NIVEAUX +Overfull \hbox (19.69516pt too wide) has occurred while \output is active +\T1/phv/m/sl/10.95 7.3. MODÉLISATION DES ISOLINES POUR L'IMPLÉMENTATION PARALL +ÈLE SUR GPU \T1/phv/m/n/10.95 81 [] -[80 <./Chapters/chapter4/img/PI-LD_detail_3.jpg> <./Chapters/chapter4/img/PI-LD +[81 <./Chapters/chapter4/img/PI-LD_detail_3.jpg> <./Chapters/chapter4/img/PI-LD _detail_sub1.jpg> <./Chapters/chapter4/img/PI-LD_detail_sub2.jpg> <./Chapters/c hapter4/img/PI-LD_detail_sub3.jpg> <./Chapters/chapter4/img/PI-LD_detail_sub4.j pg> <./Chapters/chapter4/img/PI-LD_detail_sub5.jpg>] - + File: Chapters/chapter4/img/lansel/airplane.png Graphic file (type png) - + File: Chapters/chapter4/img/lansel/boat.png Graphic file (type png) - + File: Chapters/chapter4/img/lansel/barbara.png Graphic file (type png) - + File: Chapters/chapter4/img/lansel/couple.png Graphic file (type png) - + File: Chapters/chapter4/img/lansel/elaine.png Graphic file (type png) - + File: Chapters/chapter4/img/lansel/fingerprint.png Graphic file (type png) - + File: Chapters/chapter4/img/lansel/goldhill.png Graphic file (type png) - + File: Chapters/chapter4/img/lansel/lena.png Graphic file (type png) - + File: Chapters/chapter4/img/lansel/man.png Graphic file (type png) - + File: Chapters/chapter4/img/lansel/mandrill.png Graphic file (type png) - + File: Chapters/chapter4/img/lansel/peppers.png Graphic file (type png) - + File: Chapters/chapter4/img/lansel/stream.png Graphic file (type png) - + File: Chapters/chapter4/img/lansel/zelda.png Graphic file (type png) - + File: Chapters/chapter4/img/histodir.png Graphic file (type png) @@ -2769,53 +2773,53 @@ File: Chapters/chapter4/img/histodir.png Graphic file (type png) LaTeX Warning: `h' float specifier changed to `ht'. - File: Chapters/chapter4/img/hist_seg1_airplane_25_l3.png Graphic file (type png ) - File: Chapters/chapter4/img/hist_seg1_barbara_25_l3.png Graphic file (type png) - + File: Chapters/chapter4/img/hist_seg1_boat_25_l3.png Graphic file (type png) - File: Chapters/chapter4/img/hist_seg1_couple_25_l3.png Graphic file (type png) - File: Chapters/chapter4/img/hist_seg1_elaine_25_l3.png Graphic file (type png) - File: Chapters/chapter4/img/hist_seg1_finger_25_l3.png Graphic file (type png) - File: Chapters/chapter4/img/hist_seg1_goldhill_25_l3.png Graphic file (type png ) - + File: Chapters/chapter4/img/hist_seg1_lena_25_l3.png Graphic file (type png) - + File: Chapters/chapter4/img/hist_seg1_man_25_l3.png Graphic file (type png) - File: Chapters/chapter4/img/hist_seg1_peppers_25_l3.png Graphic file (type png) - File: Chapters/chapter4/img/hist_seg1_stream_25_l3.png Graphic file (type png) - File: Chapters/chapter4/img/hist_seg1_zelda_25_l3.png Graphic file (type png) @@ -2823,12 +2827,12 @@ File: Chapters/chapter4/img/hist_seg1_zelda_25_l3.png Graphic file (type png) LaTeX Warning: `h' float specifier changed to `ht'. -Overfull \hbox (19.69516pt too wide) has occurred while \output is active -\T1/phv/m/sl/10.95 7.3. MODÉLISATION DES ISOLINES POUR L'IMPLÉMENTATION PARALL -ÈLE SUR GPU \T1/phv/m/n/10.95 81 +Overfull \hbox (3.43451pt too wide) has occurred while \output is active +\T1/phv/m/n/10.95 82 \T1/phv/m/sl/10.95 CHAPITRE 7. RÉDUCTION DE BRUIT PAR REC +HERCHE DES LIGNES DE NIVEAUX [] -[81 <./Chapters/chapter4/img/lansel/airplane.png (PNG copy)> <./Chapters/chapte +[82 <./Chapters/chapter4/img/lansel/airplane.png (PNG copy)> <./Chapters/chapte r4/img/lansel/boat.png (PNG copy)> <./Chapters/chapter4/img/lansel/barbara.png (PNG copy)> <./Chapters/chapter4/img/lansel/couple.png (PNG copy)> <./Chapters/ chapter4/img/lansel/elaine.png (PNG copy)> <./Chapters/chapter4/img/lansel/fing @@ -2838,12 +2842,12 @@ erprint.png (PNG copy)> <./Chapters/chapter4/img/lansel/goldhill.png (PNG copy) opy)> <./Chapters/chapter4/img/lansel/peppers.png (PNG copy)> <./Chapters/chapt er4/img/lansel/stream.png (PNG copy)> <./Chapters/chapter4/img/lansel/zelda.png (PNG copy)>] -Overfull \hbox (3.43451pt too wide) has occurred while \output is active -\T1/phv/m/n/10.95 82 \T1/phv/m/sl/10.95 CHAPITRE 7. RÉDUCTION DE BRUIT PAR REC -HERCHE DES LIGNES DE NIVEAUX +Overfull \hbox (19.69516pt too wide) has occurred while \output is active +\T1/phv/m/sl/10.95 7.3. MODÉLISATION DES ISOLINES POUR L'IMPLÉMENTATION PARALL +ÈLE SUR GPU \T1/phv/m/n/10.95 83 [] -[82 <./Chapters/chapter4/img/histodir.png> <./Chapters/chapter4/img/hist_seg1_a +[83 <./Chapters/chapter4/img/histodir.png> <./Chapters/chapter4/img/hist_seg1_a irplane_25_l3.png (PNG copy)> <./Chapters/chapter4/img/hist_seg1_barbara_25_l3. png (PNG copy)> <./Chapters/chapter4/img/hist_seg1_boat_25_l3.png (PNG copy)> < ./Chapters/chapter4/img/hist_seg1_couple_25_l3.png (PNG copy)> <./Chapters/chap @@ -2854,32 +2858,32 @@ _l3.png (PNG copy)> <./Chapters/chapter4/img/hist_seg1_lena_25_l3.png (PNG copy pter4/img/hist_seg1_peppers_25_l3.png (PNG copy)> <./Chapters/chapter4/img/hist _seg1_stream_25_l3.png (PNG copy)> <./Chapters/chapter4/img/hist_seg1_zelda_25_ l3.png (PNG copy)>] - + File: Chapters/chapter4/img/PI-PD_detail_sub1.jpg Graphic file (type jpg) - + File: Chapters/chapter4/img/PI-PD_detail_sub2.jpg Graphic file (type jpg) - + File: Chapters/chapter4/img/PI-PD_detail_sub3.jpg Graphic file (type jpg) -Underfull \hbox (badness 2726) in paragraph at lines 254--254 +Underfull \hbox (badness 2726) in paragraph at lines 271--271 \OML/txmi/m/it/9 p[]$ \T1/phv/m/n/9 et ap-pli-qué en $\OT1/txr/m/n/9 (\OML/txmi /m/it/9 i[]; j[]\OT1/txr/m/n/9 )$\T1/phv/m/n/9 . [] - + File: Chapters/chapter4/img/PI-PD_detail_sub4.jpg Graphic file (type jpg) -Underfull \hbox (badness 10000) in paragraph at lines 255--255 +Underfull \hbox (badness 10000) in paragraph at lines 272--272 []\T1/phv/m/n/9 (d) Si l'al-lon-ge- [] -Underfull \hbox (badness 10000) in paragraph at lines 255--255 +Underfull \hbox (badness 10000) in paragraph at lines 272--272 \T1/phv/m/n/9 est dé-fi-ni-ti-ve-ment [] @@ -2887,16 +2891,16 @@ Underfull \hbox (badness 10000) in paragraph at lines 255--255 LaTeX Warning: `h' float specifier changed to `ht'. -Overfull \hbox (19.69516pt too wide) has occurred while \output is active -\T1/phv/m/sl/10.95 7.3. MODÉLISATION DES ISOLINES POUR L'IMPLÉMENTATION PARALL -ÈLE SUR GPU \T1/phv/m/n/10.95 83 +Overfull \hbox (3.43451pt too wide) has occurred while \output is active +\T1/phv/m/n/10.95 84 \T1/phv/m/sl/10.95 CHAPITRE 7. RÉDUCTION DE BRUIT PAR REC +HERCHE DES LIGNES DE NIVEAUX [] -[83] +[84] File: Chapters/chapter4/img/airplane.png Graphic file (type png) - + File: Chapters/chapter4/img/zoom_windows_A.png Graphic file (type png) @@ -2904,42 +2908,42 @@ File: Chapters/chapter4/img/zoom_windows_A.png Graphic file (type png) LaTeX Warning: `h' float specifier changed to `ht'. -Overfull \hbox (3.43451pt too wide) has occurred while \output is active -\T1/phv/m/n/10.95 84 \T1/phv/m/sl/10.95 CHAPITRE 7. RÉDUCTION DE BRUIT PAR REC -HERCHE DES LIGNES DE NIVEAUX +Overfull \hbox (19.69516pt too wide) has occurred while \output is active +\T1/phv/m/sl/10.95 7.3. MODÉLISATION DES ISOLINES POUR L'IMPLÉMENTATION PARALL +ÈLE SUR GPU \T1/phv/m/n/10.95 85 [] -[84 <./Chapters/chapter4/img/PI-PD_detail_sub1.jpg> <./Chapters/chapter4/img/PI +[85 <./Chapters/chapter4/img/PI-PD_detail_sub1.jpg> <./Chapters/chapter4/img/PI -PD_detail_sub2.jpg> <./Chapters/chapter4/img/PI-PD_detail_sub3.jpg> <./Chapter s/chapter4/img/PI-PD_detail_sub4.jpg>] - + File: Chapters/chapter4/img/zoom_edge_ref2.jpg Graphic file (type jpg) - + File: Chapters/chapter4/img/zoom_edge_bruit.jpg Graphic file (type jpg) - + File: Chapters/chapter4/img/zoom_edge2_bruit.jpg Graphic file (type jpg) - File: Chapters/chapter4/img/zoom_edge1_2D_superpose3.jpg Graphic file (type jpg ) -Underfull \hbox (badness 7081) in paragraph at lines 355--355 +Underfull \hbox (badness 7081) in paragraph at lines 372--372 []\T1/phv/m/n/9 (d) Di-rec-tions dé-ter-mi- [] - File: Chapters/chapter4/img/zoom_edge2_2D_superpose2.jpg Graphic file (type jpg ) -Underfull \hbox (badness 7081) in paragraph at lines 356--356 +Underfull \hbox (badness 7081) in paragraph at lines 373--373 []\T1/phv/m/n/9 (e) Di-rec-tions dé-ter-mi- [] @@ -2947,34 +2951,34 @@ Underfull \hbox (badness 7081) in paragraph at lines 356--356 LaTeX Warning: `h' float specifier changed to `ht'. -Overfull \hbox (19.69516pt too wide) has occurred while \output is active -\T1/phv/m/sl/10.95 7.3. MODÉLISATION DES ISOLINES POUR L'IMPLÉMENTATION PARALL -ÈLE SUR GPU \T1/phv/m/n/10.95 85 +Overfull \hbox (3.43451pt too wide) has occurred while \output is active +\T1/phv/m/n/10.95 86 \T1/phv/m/sl/10.95 CHAPITRE 7. RÉDUCTION DE BRUIT PAR REC +HERCHE DES LIGNES DE NIVEAUX [] -[85] - File: Chapters/chapter4/img/pattern_detecteur-f.png Graphic file (type png) Underfull \vbox (badness 3039) has occurred while \output is active [] -Overfull \hbox (3.43451pt too wide) has occurred while \output is active -\T1/phv/m/n/10.95 86 \T1/phv/m/sl/10.95 CHAPITRE 7. RÉDUCTION DE BRUIT PAR REC -HERCHE DES LIGNES DE NIVEAUX +Overfull \hbox (19.69516pt too wide) has occurred while \output is active +\T1/phv/m/sl/10.95 7.3. MODÉLISATION DES ISOLINES POUR L'IMPLÉMENTATION PARALL +ÈLE SUR GPU \T1/phv/m/n/10.95 87 [] -[86] - File: Chapters/chapter4/img/airplane_noisy_small.jpg Graphic file (type jpg) - + File: Chapters/chapter4/img/img_bords_T2_small.jpg Graphic file (type jpg) -Underfull \hbox (badness 10000) in paragraph at lines 409--409 +Underfull \hbox (badness 10000) in paragraph at lines 426--426 []\T1/phv/m/n/9 (b) Clas-si-fi-ca-tion des [] @@ -2982,294 +2986,294 @@ Underfull \hbox (badness 10000) in paragraph at lines 409--409 LaTeX Warning: `h' float specifier changed to `ht'. -Overfull \hbox (19.69516pt too wide) has occurred while \output is active -\T1/phv/m/sl/10.95 7.3. MODÉLISATION DES ISOLINES POUR L'IMPLÉMENTATION PARALL -ÈLE SUR GPU \T1/phv/m/n/10.95 87 - [] - -[87 <./Chapters/chapter4/img/airplane.png (PNG copy)> <./Chapters/chapter4/img/ -zoom_windows_A.png>] Overfull \hbox (3.43451pt too wide) has occurred while \output is active \T1/phv/m/n/10.95 88 \T1/phv/m/sl/10.95 CHAPITRE 7. RÉDUCTION DE BRUIT PAR REC HERCHE DES LIGNES DE NIVEAUX [] -[88 <./Chapters/chapter4/img/zoom_edge_ref2.jpg> <./Chapters/chapter4/img/zoom_ -edge_bruit.jpg> <./Chapters/chapter4/img/zoom_edge2_bruit.jpg> <./Chapters/chap -ter4/img/zoom_edge1_2D_superpose3.jpg> <./Chapters/chapter4/img/zoom_edge2_2D_s -uperpose2.jpg>] - <./Chapters/chapter4/img/ +zoom_windows_A.png>] [89 <./Chapters/chapter4/img/zoom_edge_ref2.jpg> <./Chapte +rs/chapter4/img/zoom_edge_bruit.jpg> <./Chapters/chapter4/img/zoom_edge2_bruit. +jpg> <./Chapters/chapter4/img/zoom_edge1_2D_superpose3.jpg> <./Chapters/chapter +4/img/zoom_edge2_2D_superpose2.jpg>] + File: Chapters/chapter4/img/resultat/airplane_25_noisy.png Graphic file (type p ng) -Underfull \hbox (badness 10000) in paragraph at lines 475--475 +Underfull \hbox (badness 10000) in paragraph at lines 492--492 []\T1/phv/m/n/9 (a) Image \T1/phv/m/sl/9 air-plane [] - File: Chapters/chapter4/img/resultat/airplane_mean5.png Graphic file (type png) -Underfull \hbox (badness 1442) in paragraph at lines 476--476 +Underfull \hbox (badness 1442) in paragraph at lines 493--493 \T1/phv/m/n/9 trée par moyen-neur [] - File: Chapters/chapter4/img/resultat/airplane_25_noisy_6_r50_T10_P2.png Graphic file (type png) -Underfull \hbox (badness 2495) in paragraph at lines 477--477 +Underfull \hbox (badness 2495) in paragraph at lines 494--494 \T1/phv/m/n/9 trée par PI-PD hy- [] - File: Chapters/chapter4/img/resultat/airplane_bm3d.png Graphic file (type png) - File: Chapters/chapter4/img/resultat/airplane_25_noisy_zoom.jpg Graphic file (t ype jpg) - File: Chapters/chapter4/img/resultat/airplane_25_mean5_zoom.jpg Graphic file (t ype jpg) - File: Chapters/chapter4/img/resultat/airplane_zoom_hybrid_6_r50_T10_P2.jpg Grap hic file (type jpg) - File: Chapters/chapter4/img/resultat/airplane_bm3d_zoom.jpg Graphic file (type jpg) - [89 <./Chapters/ch -apter4/img/pattern_detecteur-f.png (PNG copy)> <./Chapters/chapter4/img/airplan -e_noisy_small.jpg> <./Chapters/chapter4/img/img_bords_T2_small.jpg>] + Overfull \hbox (3.43451pt too wide) has occurred while \output is active \T1/phv/m/n/10.95 90 \T1/phv/m/sl/10.95 CHAPITRE 7. RÉDUCTION DE BRUIT PAR REC HERCHE DES LIGNES DE NIVEAUX [] -[90 <./Chapters/chapter4/img/resultat/airplane_25_noisy.png (PNG copy)> <./Chap -ters/chapter4/img/resultat/airplane_mean5.png (PNG copy)> <./Chapters/chapter4/ -img/resultat/airplane_25_noisy_6_r50_T10_P2.png (PNG copy)> <./Chapters/chapter -4/img/resultat/airplane_bm3d.png (PNG copy)> <./Chapters/chapter4/img/resultat/ -airplane_25_noisy_zoom.jpg> <./Chapters/chapter4/img/resultat/airplane_25_mean5 -_zoom.jpg> <./Chapters/chapter4/img/resultat/airplane_zoom_hybrid_6_r50_T10_P2. -jpg> <./Chapters/chapter4/img/resultat/airplane_bm3d_zoom.jpg>] - +[90 <./Chapters/chapter4/img/pattern_detecteur-f.png (PNG copy)> <./Chapters/ch +apter4/img/airplane_noisy_small.jpg> <./Chapters/chapter4/img/img_bords_T2_smal +l.jpg>] [91 <./Chapters/chapter4/img/resultat/airplane_25_noisy.png (PNG copy)> + <./Chapters/chapter4/img/resultat/airplane_mean5.png (PNG copy)> <./Chapters/c +hapter4/img/resultat/airplane_25_noisy_6_r50_T10_P2.png (PNG copy)> <./Chapters +/chapter4/img/resultat/airplane_bm3d.png (PNG copy)> <./Chapters/chapter4/img/r +esultat/airplane_25_noisy_zoom.jpg> <./Chapters/chapter4/img/resultat/airplane_ +25_mean5_zoom.jpg> <./Chapters/chapter4/img/resultat/airplane_zoom_hybrid_6_r50 +_T10_P2.jpg> <./Chapters/chapter4/img/resultat/airplane_bm3d_zoom.jpg>] + File: Chapters/chapter4/img/tid2008-petit/0.png Graphic file (type png) - + File: Chapters/chapter4/img/tid2008-petit/1.png Graphic file (type png) - + File: Chapters/chapter4/img/tid2008-petit/2.png Graphic file (type png) - + File: Chapters/chapter4/img/tid2008-petit/3.png Graphic file (type png) - + File: Chapters/chapter4/img/tid2008-petit/4.png Graphic file (type png) - + File: Chapters/chapter4/img/tid2008-petit/5.png Graphic file (type png) - + File: Chapters/chapter4/img/tid2008-petit/6.png Graphic file (type png) - + File: Chapters/chapter4/img/tid2008-petit/7.png Graphic file (type png) - + File: Chapters/chapter4/img/tid2008-petit/8.png Graphic file (type png) - + File: Chapters/chapter4/img/tid2008-petit/9.png Graphic file (type png) - + File: Chapters/chapter4/img/tid2008-petit/10.png Graphic file (type png) - + File: Chapters/chapter4/img/tid2008-petit/11.png Graphic file (type png) - + File: Chapters/chapter4/img/tid2008-petit/12.png Graphic file (type png) - + File: Chapters/chapter4/img/tid2008-petit/13.png Graphic file (type png) - + File: Chapters/chapter4/img/tid2008-petit/14.png Graphic file (type png) - + File: Chapters/chapter4/img/tid2008-petit/15.png Graphic file (type png) - + File: Chapters/chapter4/img/tid2008-petit/16.png Graphic file (type png) - + File: Chapters/chapter4/img/tid2008-petit/17.png Graphic file (type png) - + File: Chapters/chapter4/img/tid2008-petit/18.png Graphic file (type png) - + File: Chapters/chapter4/img/tid2008-petit/19.png Graphic file (type png) - + File: Chapters/chapter4/img/tid2008-petit/20.png Graphic file (type png) - + File: Chapters/chapter4/img/tid2008-petit/21.png Graphic file (type png) - + File: Chapters/chapter4/img/tid2008-petit/22.png Graphic file (type png) - + File: Chapters/chapter4/img/tid2008-petit/23.png Graphic file (type png) - + File: Chapters/chapter4/img/tid2008-petit/24.png Graphic file (type png) -Underfull \hbox (badness 1102) in paragraph at lines 660--662 +Underfull \hbox (badness 1102) in paragraph at lines 677--679 []\T1/phv/m/n/10.95 Notre ré-fé-rence est ici en-core l'im-plé-men-ta-tion BM3D dans sa va-riante cou-leurs [] -[91] -Underfull \vbox (badness 10000) has occurred while \output is active [] - Overfull \hbox (3.43451pt too wide) has occurred while \output is active \T1/phv/m/n/10.95 92 \T1/phv/m/sl/10.95 CHAPITRE 7. RÉDUCTION DE BRUIT PAR REC HERCHE DES LIGNES DE NIVEAUX [] -[92 <./Chapters/chapter4/img/tid2008-petit/0.png (PNG copy)> <./Chapters/chapte -r4/img/tid2008-petit/1.png (PNG copy)> <./Chapters/chapter4/img/tid2008-petit/2 -.png (PNG copy)> <./Chapters/chapter4/img/tid2008-petit/3.png (PNG copy)> <./Ch -apters/chapter4/img/tid2008-petit/4.png (PNG copy)> <./Chapters/chapter4/img/ti -d2008-petit/5.png (PNG copy)> <./Chapters/chapter4/img/tid2008-petit/6.png (PNG - copy)> <./Chapters/chapter4/img/tid2008-petit/7.png (PNG copy)> <./Chapters/ch -apter4/img/tid2008-petit/8.png (PNG copy)> <./Chapters/chapter4/img/tid2008-pet -it/9.png (PNG copy)> <./Chapters/chapter4/img/tid2008-petit/10.png (PNG copy)> -<./Chapters/chapter4/img/tid2008-petit/11.png (PNG copy)> <./Chapters/chapter4/ -img/tid2008-petit/12.png (PNG copy)> <./Chapters/chapter4/img/tid2008-petit/13. -png (PNG copy)> <./Chapters/chapter4/img/tid2008-petit/14.png (PNG copy)> <./Ch -apters/chapter4/img/tid2008-petit/15.png (PNG copy)> <./Chapters/chapter4/img/t -id2008-petit/16.png (PNG copy)> <./Chapters/chapter4/img/tid2008-petit/17.png ( -PNG copy)> <./Chapters/chapter4/img/tid2008-petit/18.png (PNG copy)> <./Chapter -s/chapter4/img/tid2008-petit/19.png (PNG copy)> <./Chapters/chapter4/img/tid200 -8-petit/20.png (PNG copy)> <./Chapters/chapter4/img/tid2008-petit/21.png (PNG c -opy)> <./Chapters/chapter4/img/tid2008-petit/22.png (PNG copy)> <./Chapters/cha -pter4/img/tid2008-petit/23.png (PNG copy)> <./Chapters/chapter4/img/tid2008-pet -it/24.png (PNG copy)>] - +[92] +Underfull \vbox (badness 10000) has occurred while \output is active [] + + [93 <./Chapters/chapter4/img/tid2008-petit/0.png (PNG copy)> <./Chapters/chapt +er4/img/tid2008-petit/1.png (PNG copy)> <./Chapters/chapter4/img/tid2008-petit/ +2.png (PNG copy)> <./Chapters/chapter4/img/tid2008-petit/3.png (PNG copy)> <./C +hapters/chapter4/img/tid2008-petit/4.png (PNG copy)> <./Chapters/chapter4/img/t +id2008-petit/5.png (PNG copy)> <./Chapters/chapter4/img/tid2008-petit/6.png (PN +G copy)> <./Chapters/chapter4/img/tid2008-petit/7.png (PNG copy)> <./Chapters/c +hapter4/img/tid2008-petit/8.png (PNG copy)> <./Chapters/chapter4/img/tid2008-pe +tit/9.png (PNG copy)> <./Chapters/chapter4/img/tid2008-petit/10.png (PNG copy)> + <./Chapters/chapter4/img/tid2008-petit/11.png (PNG copy)> <./Chapters/chapter4 +/img/tid2008-petit/12.png (PNG copy)> <./Chapters/chapter4/img/tid2008-petit/13 +.png (PNG copy)> <./Chapters/chapter4/img/tid2008-petit/14.png (PNG copy)> <./C +hapters/chapter4/img/tid2008-petit/15.png (PNG copy)> <./Chapters/chapter4/img/ +tid2008-petit/16.png (PNG copy)> <./Chapters/chapter4/img/tid2008-petit/17.png +(PNG copy)> <./Chapters/chapter4/img/tid2008-petit/18.png (PNG copy)> <./Chapte +rs/chapter4/img/tid2008-petit/19.png (PNG copy)> <./Chapters/chapter4/img/tid20 +08-petit/20.png (PNG copy)> <./Chapters/chapter4/img/tid2008-petit/21.png (PNG +copy)> <./Chapters/chapter4/img/tid2008-petit/22.png (PNG copy)> <./Chapters/ch +apter4/img/tid2008-petit/23.png (PNG copy)> <./Chapters/chapter4/img/tid2008-pe +tit/24.png (PNG copy)>] + File: Chapters/chapter4/img/I09_02_4.png Graphic file (type png) - + File: Chapters/chapter4/img/I09_02_4-4-50-5_out.png Graphic file (type png) - + File: Chapters/chapter4/img/I09_bm3d.png Graphic file (type png) - + File: Chapters/chapter4/img/I25_02_4.png Graphic file (type png) - + File: Chapters/chapter4/img/I25_02_4-4-50-5_out.png Graphic file (type png) - + File: Chapters/chapter4/img/I25_bm3d.png Graphic file (type png) Underfull \vbox (badness 10000) has occurred while \output is active [] - [93 <./Chapters/chapter4/img/I09_02_4.png (PNG copy)> <./Chapters/chapter4/img -/I09_02_4-4-50-5_out.png (PNG copy)> <./Chapters/chapter4/img/I09_bm3d.png (PNG - copy)> <./Chapters/chapter4/img/I25_02_4.png (PNG copy)> <./Chapters/chapter4/ -img/I25_02_4-4-50-5_out.png (PNG copy)> <./Chapters/chapter4/img/I25_bm3d.png ( -PNG copy)>]) + Overfull \hbox (3.43451pt too wide) has occurred while \output is active \T1/phv/m/n/10.95 94 \T1/phv/m/sl/10.95 CHAPITRE 7. RÉDUCTION DE BRUIT PAR REC HERCHE DES LIGNES DE NIVEAUX [] -[94] [95] +[94 <./Chapters/chapter4/img/I09_02_4.png (PNG copy)> <./Chapters/chapter4/img/ +I09_02_4-4-50-5_out.png (PNG copy)> <./Chapters/chapter4/img/I09_bm3d.png (PNG +copy)> <./Chapters/chapter4/img/I25_02_4.png (PNG copy)> <./Chapters/chapter4/i +mg/I25_02_4-4-50-5_out.png (PNG copy)> <./Chapters/chapter4/img/I25_bm3d.png (P +NG copy)>]) [95] Overfull \hbox (3.43451pt too wide) has occurred while \output is active \T1/phv/m/n/10.95 96 \T1/phv/m/sl/10.95 CHAPITRE 7. RÉDUCTION DE BRUIT PAR REC HERCHE DES LIGNES DE NIVEAUX [] -[96] [97] [98 +[96] [97] +Overfull \hbox (3.43451pt too wide) has occurred while \output is active +\T1/phv/m/n/10.95 98 \T1/phv/m/sl/10.95 CHAPITRE 7. RÉDUCTION DE BRUIT PAR REC +HERCHE DES LIGNES DE NIVEAUX + [] -] +[98] Chapitre 8. -(./Chapters/chapter5/chapter5.tex [99] +(./Chapters/chapter5/chapter5.tex [99 + +] LaTeX Font Info: Font shape `T1/phv/bx/n' in size <9> not available (Font) Font shape `T1/phv/b/n' tried instead on input line 18. - + File: kernLeft.png Graphic file (type png) - + File: kernRight.png Graphic file (type png) Underfull \vbox (badness 10000) has occurred while \output is active [] [100 <./kernLeft.png> <./kernRight.png>] [101] - File: Chapters/chapter5/img/forgetful_selectionb.jpg Graphic file (type jpg) [102] - + File: Chapters/chapter5/img/bitonic.png Graphic file (type png) [103 <./Chapters/chapter5/img/forgetful _selectionb.jpg> <./Chapters/chapter5/img/bitonic.png>] - + File: Chapters/chapter5/img/median5_overlap.png Graphic file (type png) [104 <./Chapters/chapter5/img/m @@ -3277,11 +3281,11 @@ edian5_overlap.png>] Package hyperref Info: bookmark level for unknown lstlisting defaults to 0 on i nput line 143. (./Chapters/chapter5/code/median3-2pix.cu) - + File: Chapters/chapter5/img/comp512.png Graphic file (type png) - + File: Chapters/chapter5/img/comp4k.png Graphic file (type png) @@ -3305,11 +3309,11 @@ LE SUR GPU \T1/phv/m/n/10.95 111 [] [111] - + File: Chapters/chapter6/img/convoOverlap1.png Graphic file (type png) - + File: Chapters/chapter6/img/convoOverlap2.png Graphic file (type png) [112 <./Chapters/chapter6/img/con @@ -3339,11 +3343,11 @@ LaTeX Warning: `h' float specifier changed to `ht'. Underfull \vbox (badness 10000) has occurred while \output is active [] [119] - + File: Chapters/chapter6/img/convomed1.png Graphic file (type png) - + File: Chapters/chapter6/img/convomed2.png Graphic file (type png) @@ -3365,26 +3369,24 @@ Underfull \vbox (badness 10000) has occurred while \output is active [] ] [126 ] [127] [128] -[129] [130] [131] [132]) [133] [134 +[129] [130] [131] [132] [133]) [134] (./these.lof [135 -] (./these.lof [135] +] Underfull \vbox (badness 10000) has occurred while \output is active [] [136] -Underfull \vbox (badness 10000) has occurred while \output is active [] - - [137] -Overfull \hbox (1.29184pt too wide) detected at line 232 +[137] +Overfull \hbox (1.29184pt too wide) detected at line 233 [][]\T1/phv/m/n/10.95 103[] [] -Overfull \hbox (1.29184pt too wide) detected at line 233 +Overfull \hbox (1.29184pt too wide) detected at line 234 [][]\T1/phv/m/n/10.95 103[] [] -Overfull \hbox (1.29184pt too wide) detected at line 234 +Overfull \hbox (1.29184pt too wide) detected at line 235 [][]\T1/phv/m/n/10.95 104[] [] @@ -3392,17 +3394,17 @@ Overfull \hbox (1.29184pt too wide) detected at line 234 Underfull \vbox (badness 10000) has occurred while \output is active [] [138] -Overfull \hbox (1.29184pt too wide) detected at line 235 +Overfull \hbox (1.29184pt too wide) detected at line 236 [][]\T1/phv/m/n/10.95 106[] [] -Overfull \hbox (1.29184pt too wide) detected at line 239 +Overfull \hbox (1.29184pt too wide) detected at line 240 [][]\T1/phv/m/n/10.95 112[] [] -Overfull \hbox (1.29184pt too wide) detected at line 242 +Overfull \hbox (1.29184pt too wide) detected at line 243 [][]\T1/phv/m/n/10.95 121[] [] @@ -3487,7 +3489,7 @@ Overfull \hbox (1.29184pt too wide) detected at line 30 pdfTeX warning: pdflatex (file /usr/share/texmf/tex/latex/upmethodology-extensi ons/phd_thesis/spimufcphdthesis/spimufcphdthesis-backpage.pdf): PDF inclusion: found PDF version <1.6>, but at most version <1.4> allowed - + File: spimufcphdthesis-backpage.pdf Graphic file (type pdf) [144 @@ -3504,10 +3506,10 @@ LaTeX Font Warning: Some font shapes were not available, defaults substituted. ) Here is how much of TeX's memory you used: - 15794 strings out of 495028 - 264989 string characters out of 1181229 - 995753 words of memory out of 3000000 - 17066 multiletter control sequences out of 15000+50000 + 15804 strings out of 495028 + 265294 string characters out of 1181229 + 996464 words of memory out of 3000000 + 17073 multiletter control sequences out of 15000+50000 164307 words of font info for 234 fonts, out of 3000000 for 9000 28 hyphenation exceptions out of 8191 62i,25n,72p,1409b,1871s stack positions out of 5000i,500n,10000p,200000b,50000s @@ -3523,9 +3525,9 @@ are/texmf-texlive/fonts/type1/urw/helvetic/uhvr8a.pfb> -Output written on these.pdf (152 pages, 37776342 bytes). +Output written on these.pdf (152 pages, 38089450 bytes). PDF statistics: - 3132 PDF objects out of 3580 (max. 8388607) - 1182 named destinations out of 1200 (max. 500000) - 1749 words of extra memory for PDF output out of 10000 (max. 10000000) + 3144 PDF objects out of 3580 (max. 8388607) + 1184 named destinations out of 1200 (max. 500000) + 1754 words of extra memory for PDF output out of 10000 (max. 10000000) diff --git a/THESE/these.lot b/THESE/these.lot index 8475436..e98893e 100644 --- a/THESE/these.lot +++ b/THESE/these.lot @@ -11,9 +11,9 @@ \contentsline {table}{\numberline {6.3}{\ignorespaces Acc\IeC {\'e}l\IeC {\'e}ration constat\IeC {\'e}e, pour le calcul des images cumul\IeC {\'e}es, de l'impl\IeC {\'e}mentation GPU (C2070) par rapport \IeC {\`a} l'impl\IeC {\'e}mentation CPU de r\IeC {\'e}f\IeC {\'e}rence.}}{66}{table.6.3} \contentsline {table}{\numberline {6.4}{\ignorespaces Comparaison des temps d'ex\IeC {\'e}cution de l'impl\IeC {\'e}mentation GPU (C2070) par rapport \IeC {\`a} l'impl\IeC {\'e}mentation CPU (mono thread) de r\IeC {\'e}f\IeC {\'e}rence, pour une m\IeC {\^e}me image dilat\IeC {\'e}e (fig. \ref {fig-snakecpu-cochon512}) pour en adapter la taille.}}{72}{table.6.4} \addvspace {10\p@ } -\contentsline {table}{\numberline {7.1}{\ignorespaces Temps de calcul et de transfert des impl\IeC {\'e}mentations compar\IeC {\'e}es. }}{95}{table.7.1} -\contentsline {table}{\numberline {7.2}{\ignorespaces Comparaison image par image de la qualit\IeC {\'e} de d\IeC {\'e}bruitage des filtres PI-LD et PI-PD hybride propos\IeC {\'e} par rapport \IeC {\`a} BM3D pris comme r\IeC {\'e}f\IeC {\'e}rence de qualit\IeC {\'e} et \IeC {\`a} un moyenneur GPU 5$\times $5 pris comme r\IeC {\'e}f\IeC {\'e}rence de rapidit\IeC {\'e}. Les param\IeC {\`e}tres du PI-LD/PI-PD sont $n=5$, $l=25$, $T_{max}=1$ et $T2_{max}=2$. La colonne 'Bruit\IeC {\'e}e' donne les mesures relatives \IeC {\`a} l'image d'entr\IeC {\'e}e corrompue par un bruit gaussien de moyenne nulle et d'\IeC {\'e}cart type $\sigma =25$. PI-LD s'ex\IeC {\'e}cute en 35~ms, PI-PD en 7,3~ms et BM3D en 4,3~s.}}{96}{table.7.2} -\contentsline {table}{\numberline {7.3}{\ignorespaces Comparaison image par image de la qualit\IeC {\'e} de d\IeC {\'e}bruitage du filtre PI-PD RVB propos\IeC {\'e} par rapport \IeC {\`a} BM3D pris comme r\IeC {\'e}f\IeC {\'e}rence de qualit\IeC {\'e}. Les param\IeC {\`e}tres du PI-PD sont $n=4$, $l=48$, $T_{rvb-max}=5$. La colonne 'noisy' donne les mesures relatives \IeC {\`a} l'image d'entr\IeC {\'e}e corrompue par tirage de bruit gaussien sur chaque canal ( moyenne nulle, \IeC {\'e}cart type $\sigma =25$).}}{97}{table.7.3} +\contentsline {table}{\numberline {7.1}{\ignorespaces Temps de calcul et de transfert des impl\IeC {\'e}mentations compar\IeC {\'e}es. }}{96}{table.7.1} +\contentsline {table}{\numberline {7.2}{\ignorespaces Comparaison image par image de la qualit\IeC {\'e} de d\IeC {\'e}bruitage des filtres PI-LD et PI-PD hybride propos\IeC {\'e} par rapport \IeC {\`a} BM3D pris comme r\IeC {\'e}f\IeC {\'e}rence de qualit\IeC {\'e} et \IeC {\`a} un moyenneur GPU 5$\times $5 pris comme r\IeC {\'e}f\IeC {\'e}rence de rapidit\IeC {\'e}. Les param\IeC {\`e}tres du PI-LD/PI-PD sont $n=5$, $l=25$, $T_{max}=1$ et $T2_{max}=2$. La colonne 'Bruit\IeC {\'e}e' donne les mesures relatives \IeC {\`a} l'image d'entr\IeC {\'e}e corrompue par un bruit gaussien de moyenne nulle et d'\IeC {\'e}cart type $\sigma =25$. PI-LD s'ex\IeC {\'e}cute en 35~ms, PI-PD en 7,3~ms et BM3D en 4,3~s.}}{97}{table.7.2} +\contentsline {table}{\numberline {7.3}{\ignorespaces Comparaison image par image de la qualit\IeC {\'e} de d\IeC {\'e}bruitage du filtre PI-PD RVB propos\IeC {\'e} par rapport \IeC {\`a} BM3D pris comme r\IeC {\'e}f\IeC {\'e}rence de qualit\IeC {\'e}. Les param\IeC {\`e}tres du PI-PD sont $n=4$, $l=48$, $T_{rvb-max}=5$. La colonne 'noisy' donne les mesures relatives \IeC {\`a} l'image d'entr\IeC {\'e}e corrompue par tirage de bruit gaussien sur chaque canal ( moyenne nulle, \IeC {\'e}cart type $\sigma =25$).}}{98}{table.7.3} \addvspace {10\p@ } \contentsline {table}{\numberline {8.1}{\ignorespaces Temps de transfert vers et depuis le GPU, en fonction de la dimension de l'image et de la profondeur des niveaux de gris. La colonne ``M\IeC {\'e}moire globale'' donne les temps mesur\IeC {\'e}s lorsque cette seule m\IeC {\'e}moire est employ\IeC {\'e}e.}}{100}{table.8.1} \contentsline {table}{\numberline {8.2}{\ignorespaces Pourcentage du temps d'ex\IeC {\'e}cution pris par les transferts de donn\IeC {\'e}es en fonction de la taille de fen\IeC {\^e}tre du filtre, pour les profondeurs 8 et 16 bits sur GPU C2070.}}{106}{table.8.2} diff --git a/THESE/these.pdf b/THESE/these.pdf index 9a05fe0..6e98058 100644 --- a/THESE/these.pdf +++ b/THESE/these.pdf @@ -21884,16 +21884,16 @@ endobj /ProcSet [ /PDF /Text ] >> endobj 564 0 obj << -/Length 1262 +/Length 1264 /Filter /FlateDecode >> stream -xÚíZMSÜ8½ó+|[ÏÁŽ>mé˜M€š-¨¥XrJö`fœAU²MüA‘¿-K°qf€À&\°-[Býúu÷S -V -÷þ<Û{w p€Q,‘ÄÁÙ×@ʘ`¤)‹‘$ÁÙ2øþó÷ññûùéþìß³¿Þäö÷ ó˜Ó–ë?½RÊ|µ‡Üo"jV$ˆ‰1³_%1Ù,’i~üB9nózªÌZU•³ˆ.;{]Te[uµ}P¥jU¦íCæ¾hò²1w|=§È®U1Ã(ì -·Xn¯WµÍT“‘Ùi@™±%ˆ09“vç3‚B• ˜Ä¨ãYÄzò “ò¹–þ¹ËÀƒŸ#AQ˜â±_=n@qãVnÝú¡*ºkz_¦œ¼6°è`ÅTˆÅ,5?ÇA /î žB4&òvtE nj3@>¤©…9ˆ OMä,»… 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(AlgoLine8.7) 2097 0 R (AlgoLine9.1) 2252 0 R (AlgoLine9.2) 2253 0 R] +2928 0 obj << +/Names [(AlgoLine8.4) 2103 0 R (AlgoLine8.5) 2104 0 R (AlgoLine8.6) 2105 0 R (AlgoLine8.7) 2106 0 R (AlgoLine9.1) 2261 0 R (AlgoLine9.2) 2262 0 R] /Limits [(AlgoLine8.4) (AlgoLine9.2)] >> endobj -2918 0 obj << -/Names [(AlgoLine9.3) 2254 0 R (AlgoLine9.4) 2255 0 R (AlgoLine9.5) 2256 0 R (AlgoLine9.6) 2257 0 R (Doc-Start) 371 0 R (Item.1) 649 0 R] +2929 0 obj << +/Names [(AlgoLine9.3) 2263 0 R (AlgoLine9.4) 2264 0 R (AlgoLine9.5) 2265 0 R (AlgoLine9.6) 2266 0 R (Doc-Start) 371 0 R (Item.1) 649 0 R] /Limits [(AlgoLine9.3) (Item.1)] >> endobj -2919 0 obj << +2930 0 obj << /Names [(Item.10) 670 0 R (Item.11) 1113 0 R (Item.12) 1133 0 R (Item.13) 1134 0 R (Item.14) 1576 0 R (Item.15) 1589 0 R] /Limits [(Item.10) (Item.15)] >> endobj -2920 0 obj << -/Names [(Item.16) 1590 0 R (Item.17) 1591 0 R (Item.18) 1657 0 R (Item.19) 1659 0 R (Item.2) 652 0 R (Item.20) 1763 0 R] +2931 0 obj << +/Names [(Item.16) 1590 0 R (Item.17) 1591 0 R (Item.18) 1670 0 R (Item.19) 1672 0 R (Item.2) 652 0 R (Item.20) 1777 0 R] /Limits [(Item.16) (Item.20)] >> endobj -2921 0 obj << -/Names [(Item.21) 1766 0 R (Item.22) 1829 0 R (Item.23) 1830 0 R (Item.24) 1831 0 R (Item.25) 1919 0 R (Item.26) 1958 0 R] +2932 0 obj << +/Names [(Item.21) 1780 0 R (Item.22) 1842 0 R (Item.23) 1843 0 R (Item.24) 1844 0 R (Item.25) 1932 0 R (Item.26) 1971 0 R] /Limits [(Item.21) (Item.26)] >> endobj -2922 0 obj << -/Names [(Item.27) 2107 0 R (Item.28) 2108 0 R (Item.29) 2118 0 R (Item.3) 653 0 R (Item.30) 2119 0 R (Item.31) 2120 0 R] +2933 0 obj << +/Names [(Item.27) 2116 0 R (Item.28) 2117 0 R (Item.29) 2127 0 R (Item.3) 653 0 R (Item.30) 2128 0 R (Item.31) 2129 0 R] /Limits [(Item.27) (Item.31)] >> endobj -2923 0 obj << -/Names [(Item.32) 2121 0 R (Item.33) 2250 0 R (Item.34) 2251 0 R (Item.4) 659 0 R (Item.5) 660 0 R (Item.6) 661 0 R] +2934 0 obj << +/Names [(Item.32) 2130 0 R (Item.33) 2259 0 R (Item.34) 2260 0 R (Item.4) 659 0 R (Item.5) 660 0 R (Item.6) 661 0 R] /Limits [(Item.32) (Item.6)] >> endobj -2924 0 obj << +2935 0 obj << /Names [(Item.7) 667 0 R (Item.8) 668 0 R (Item.9) 669 0 R (algocfline.1) 944 0 R (algocfline.2) 1333 0 R (algocfline.3) 1345 0 R] /Limits [(Item.7) (algocfline.3)] >> endobj -2925 0 obj << -/Names [(algocfline.4) 1767 0 R (algocfline.5) 1776 0 R (algocfline.6) 1777 0 R (algocfline.7) 1878 0 R (algocfline.8) 2090 0 R (algocfline.9) 2242 0 R] +2936 0 obj << +/Names [(algocfline.4) 1781 0 R (algocfline.5) 1790 0 R (algocfline.6) 1791 0 R (algocfline.7) 1891 0 R (algocfline.8) 2099 0 R (algocfline.9) 2251 0 R] /Limits [(algocfline.4) (algocfline.9)] >> endobj -2926 0 obj << -/Names [(chapter*.1) 490 0 R (chapter*.3) 2648 0 R (chapter*.4) 2658 0 R (chapter*.5) 2710 0 R (chapter*.6) 2801 0 R (chapter.1) 6 0 R] +2937 0 obj << +/Names [(chapter*.1) 490 0 R (chapter*.3) 2657 0 R (chapter*.4) 2667 0 R (chapter*.5) 2719 0 R (chapter*.6) 2812 0 R (chapter.1) 6 0 R] /Limits [(chapter*.1) (chapter.1)] >> endobj -2927 0 obj << +2938 0 obj << /Names [(chapter.10) 362 0 R (chapter.2) 10 0 R (chapter.3) 42 0 R (chapter.4) 70 0 R (chapter.5) 122 0 R (chapter.6) 186 0 R] /Limits [(chapter.10) (chapter.6)] >> endobj -2928 0 obj << +2939 0 obj << /Names [(chapter.7) 242 0 R (chapter.8) 306 0 R (chapter.9) 338 0 R (cite.1093941) 810 0 R (cite.1467423) 846 0 R (cite.1521458) 802 0 R] /Limits [(chapter.7) (cite.1521458)] >> endobj -2929 0 obj << +2940 0 obj << /Names [(cite.4287006) 773 0 R (cite.4310076) 946 0 R (cite.4563095) 1136 0 R (cite.4587843) 803 0 R (cite.5170921) 1150 0 R (cite.5206542) 897 0 R] /Limits [(cite.4287006) (cite.5206542)] >> endobj -2930 0 obj << +2941 0 obj << /Names [(cite.5402362) 882 0 R (cite.5459410) 1251 0 R (cite.5767240) 1101 0 R (cite.6036776) 1598 0 R (cite.6288187) 881 0 R (cite.710815) 801 0 R] /Limits [(cite.5402362) (cite.710815)] >> endobj -2931 0 obj << +2942 0 obj << /Names [(cite.BlellochTR90) 1466 0 R (cite.BuadesCM06) 806 0 R (cite.CUDAPG) 610 0 R (cite.Caselles99topographicmaps) 693 0 R (cite.ChesnaudRB99) 1097 0 R (cite.Dabov06imagedenoising) 847 0 R] /Limits [(cite.BlellochTR90) (cite.Dabov06imagedenoising)] >> endobj -2932 0 obj << +2943 0 obj << /Names [(cite.Dabov09bm3dimage) 848 0 R (cite.Daubechies:1992:TLW:130655) 809 0 R (cite.GallandBR03) 1098 0 R (cite.GermainR01) 1099 0 R (cite.KassWT88) 1076 0 R (cite.Mallat:2008:WTS:1525499) 808 0 R] /Limits [(cite.Dabov09bm3dimage) (cite.Mallat:2008:WTS:1525499)] >> endobj -2933 0 obj << +2944 0 obj << /Names [(cite.PALHANOXAVIERDEFONTES) 913 0 R (cite.Roberts:2010:WGA:1921479.1921499) 1210 0 R (cite.Vineet:2009:FMS:1572769.1572796) 1116 0 R (cite.Wang04imagequality) 739 0 R (cite.Zahn:1971:GMD:1309266.1309359) 984 0 R (cite.adalsteinsson1994fast) 1093 0 R] /Limits [(cite.PALHANOXAVIERDEFONTES) (cite.adalsteinsson1994fast)] >> endobj -2934 0 obj << +2945 0 obj << /Names [(cite.agarwal2002exact) 1039 0 R (cite.aldinucci2012parallel) 887 0 R (cite.arbelaez2011contour) 1102 0 R (cite.arora1998approximation) 1040 0 R (cite.bauer2009segmentation) 1231 0 R (cite.bertaux2004speckle) 807 0 R] /Limits [(cite.agarwal2002exact) (cite.bertaux2004speckle)] >> endobj -2935 0 obj << -/Names [(cite.boykov2004experimental) 1014 0 R (cite.bresenham1965algorithm) 1253 0 R (cite.caselles97) 1612 0 R (cite.cates2004gist) 1208 0 R (cite.chandran2009computational) 1015 0 R (cite.che2008performance) 1138 0 R] +2946 0 obj << +/Names [(cite.boykov2004experimental) 1014 0 R (cite.bresenham1965algorithm) 1253 0 R (cite.caselles97) 1615 0 R (cite.cates2004gist) 1208 0 R (cite.chandran2009computational) 1015 0 R (cite.che2008performance) 1138 0 R] /Limits [(cite.boykov2004experimental) (cite.che2008performance)] >> endobj -2936 0 obj << +2947 0 obj << /Names [(cite.chen09) 883 0 R (cite.cheng1995mean) 1043 0 R (cite.cherkassky1997implementing) 1016 0 R (cite.cmla2009Kes) 862 0 R (cite.cohen1993surface) 1095 0 R (cite.coil) 738 0 R] /Limits [(cite.chen09) (cite.coil)] >> endobj -2937 0 obj << +2948 0 obj << /Names [(cite.comaniciu1999mean) 1045 0 R (cite.comaniciu2002mean) 1046 0 R (cite.convolutionsoup) 863 0 R (cite.cutrona1990synthetic) 694 0 R (cite.dixit2005gpu) 1117 0 R (cite.elad2006image) 812 0 R] /Limits [(cite.comaniciu1999mean) (cite.elad2006image)] >> endobj -2938 0 obj << +2949 0 obj << /Names [(cite.felzenszwalb2004efficient) 988 0 R (cite.fluck2006gpu) 1114 0 R (cite.foley1994introduction) 1044 0 R (cite.ford1955simple) 1013 0 R (cite.fukunaga1975estimation) 1042 0 R (cite.fulkerson2012really) 1154 0 R] /Limits [(cite.felzenszwalb2004efficient) (cite.fulkerson2012really)] >> endobj -2939 0 obj << -/Names [(cite.galland2005minimal) 1100 0 R (cite.graphcutscuda) 1135 0 R (cite.healey1994radiometric) 716 0 R (cite.hochbaum2013simplifications) 1017 0 R (cite.humphrey1924psychology) 945 0 R (cite.jeong2009scalable) 1209 0 R] -/Limits [(cite.galland2005minimal) (cite.jeong2009scalable)] ->> endobj -2940 0 obj << -/Names [(cite.kddcup99) 1139 0 R (cite.keselman1998extraction) 1047 0 R (cite.kmeansgpuopengl) 1151 0 R (cite.kodakccd) 717 0 R (cite.kohli2007dynamic) 1137 0 R (cite.lefohn2003inter) 1205 0 R] -/Limits [(cite.kddcup99) (cite.lefohn2003inter)] ->> endobj -2941 0 obj << -/Names [(cite.lefohn2003interactive) 1115 0 R (cite.lefohn2005streaming) 1207 0 R (cite.li2009mean) 1152 0 R (cite.li2011robust) 1232 0 R (cite.macqueen1967some) 1018 0 R (cite.mancuso2001introduction) 707 0 R] -/Limits [(cite.lefohn2003interactive) (cite.mancuso2001introduction)] ->> endobj -2942 0 obj << -/Names [(cite.martin2001database) 1252 0 R (cite.matheron75) 1611 0 R (cite.medianggems5) 2122 0 R (cite.nlmeansgpubelge) 914 0 R (cite.osher1988fronts) 1092 0 R (cite.pelleg2000x) 1041 0 R] -/Limits [(cite.martin2001database) (cite.pelleg2000x)] ->> endobj -2943 0 obj << -/Names [(cite.perrot2013fine) 2232 0 R (cite.perrotbookgpu) 2233 0 R (cite.perrotlniv) 2022 0 R (cite.psnrhvsm) 1996 0 R (cite.ronfard1994region) 1096 0 R (cite.rumpf2001level) 1206 0 R] -/Limits [(cite.perrot2013fine) (cite.rumpf2001level)] ->> endobj -2944 0 obj << -/Names [(cite.sanchez2013highly) 885 0 R (cite.sanchezICASSP12) 2231 0 R (cite.sethian1996fast) 1094 0 R (cite.shi2000normalized) 989 0 R (cite.snakegvf06) 1230 0 R (cite.snakegvfopencl12) 1233 0 R] -/Limits [(cite.sanchez2013highly) (cite.snakegvfopencl12)] ->> endobj -2945 0 obj << -/Names [(cite.strang1999discrete) 811 0 R (cite.theuwissen2001ccd) 708 0 R (cite.tid2008a) 1965 0 R (cite.tukey77) 772 0 R (cite.van2004detection) 1648 0 R (cite.vedaldi2008quick) 1153 0 R] -/Limits [(cite.strang1999discrete) (cite.vedaldi2008quick)] ->> endobj -2946 0 obj << -/Names [(cite.volkov2010better) 1261 0 R (cite.wang2001image) 986 0 R (cite.wang2003image) 987 0 R (cite.wong2010demystifying) 637 0 R (cite.wu1993optimal) 985 0 R (cite.xiao2010efficient) 1186 0 R] -/Limits [(cite.volkov2010better) (cite.xiao2010efficient)] ->> endobj -2947 0 obj << -/Names [(cite.zheng2011performance) 898 0 R (cite.zheng2012fast) 1250 0 R (equation.4.1.1) 758 0 R (equation.6.2.1) 1290 0 R (equation.6.2.10) 1313 0 R (equation.6.2.11) 1314 0 R] -/Limits [(cite.zheng2011performance) (equation.6.2.11)] ->> endobj -2948 0 obj << -/Names [(equation.6.2.12) 1315 0 R (equation.6.2.13) 1326 0 R (equation.6.2.2) 1291 0 R (equation.6.2.3) 1292 0 R (equation.6.2.4) 1293 0 R (equation.6.2.5) 1294 0 R] -/Limits [(equation.6.2.12) (equation.6.2.5)] ->> endobj -2949 0 obj << -/Names [(equation.6.2.6) 1295 0 R (equation.6.2.7) 1310 0 R (equation.6.2.8) 1311 0 R (equation.6.2.9) 1312 0 R (equation.7.2.1) 1631 0 R (equation.7.2.2) 1632 0 R] -/Limits [(equation.6.2.6) (equation.7.2.2)] ->> endobj 2950 0 obj << -/Names [(equation.7.2.3) 1633 0 R (equation.7.2.4) 1634 0 R (equation.7.2.5) 1635 0 R (equation.7.2.6) 1658 0 R (equation.7.2.7) 1660 0 R (equation.7.2.8) 1649 0 R] -/Limits [(equation.7.2.3) (equation.7.2.8)] +/Names [(cite.galland2005minimal) 1100 0 R (cite.graphcutscuda) 1135 0 R (cite.haralick1987image) 1613 0 R (cite.healey1994radiometric) 716 0 R (cite.hochbaum2013simplifications) 1017 0 R (cite.humphrey1924psychology) 945 0 R] +/Limits [(cite.galland2005minimal) (cite.humphrey1924psychology)] >> endobj 2951 0 obj << -/Names [(equation.7.3.10) 1765 0 R (equation.7.3.11) 1865 0 R (equation.7.3.9) 1764 0 R (equation.7.5.12) 1920 0 R (equation.7.5.13) 1921 0 R (equation.7.5.14) 1957 0 R] -/Limits [(equation.7.3.10) (equation.7.5.14)] +/Names [(cite.jeong2009scalable) 1209 0 R (cite.kddcup99) 1139 0 R (cite.keselman1998extraction) 1047 0 R (cite.kmeansgpuopengl) 1151 0 R (cite.kodakccd) 717 0 R (cite.kohli2007dynamic) 1137 0 R] +/Limits [(cite.jeong2009scalable) (cite.kohli2007dynamic)] >> endobj 2952 0 obj << -/Names [(equation.7.5.15) 1959 0 R (equation.7.5.16) 1960 0 R (equation.7.5.17) 1961 0 R (equation.7.5.18) 1962 0 R (equation.7.5.19) 1963 0 R (equation.7.5.20) 1964 0 R] -/Limits [(equation.7.5.15) (equation.7.5.20)] +/Names [(cite.lefohn2003inter) 1205 0 R (cite.lefohn2003interactive) 1115 0 R (cite.lefohn2005streaming) 1207 0 R (cite.li2009mean) 1152 0 R (cite.li2011robust) 1232 0 R (cite.macqueen1967some) 1018 0 R] +/Limits [(cite.lefohn2003inter) (cite.macqueen1967some)] >> endobj 2953 0 obj << -/Names [(figure.2.1) 609 0 R (figure.2.2) 611 0 R (figure.2.3) 635 0 R (figure.2.4) 638 0 R (figure.4.1) 737 0 R (figure.4.2) 759 0 R] -/Limits [(figure.2.1) (figure.4.2)] +/Names [(cite.mancuso2001introduction) 707 0 R (cite.martin2001database) 1252 0 R (cite.matheron75) 1614 0 R (cite.medianggems5) 2131 0 R (cite.nlmeansgpubelge) 914 0 R (cite.osher1988fronts) 1092 0 R] +/Limits [(cite.mancuso2001introduction) (cite.osher1988fronts)] >> endobj 2954 0 obj << -/Names [(figure.4.3) 771 0 R (figure.4.4) 804 0 R (figure.4.5) 845 0 R (figure.4.6) 849 0 R (figure.4.7) 860 0 R (figure.4.8) 896 0 R] -/Limits [(figure.4.3) (figure.4.8)] +/Names [(cite.pelleg2000x) 1041 0 R (cite.perrot2013fine) 2241 0 R (cite.perrotbookgpu) 2242 0 R (cite.perrotlniv) 2036 0 R (cite.psnrhvsm) 2009 0 R (cite.ronfard1994region) 1096 0 R] +/Limits [(cite.pelleg2000x) (cite.ronfard1994region)] >> endobj 2955 0 obj << -/Names [(figure.4.9) 899 0 R (figure.5.1) 947 0 R (figure.5.10) 1227 0 R (figure.5.11) 1254 0 R (figure.5.2) 990 0 R (figure.5.3) 1038 0 R] -/Limits [(figure.4.9) (figure.5.3)] +/Names [(cite.rumpf2001level) 1206 0 R (cite.sanchez2013highly) 885 0 R (cite.sanchezICASSP12) 2240 0 R (cite.sethian1996fast) 1094 0 R (cite.shi2000normalized) 989 0 R (cite.snakegvf06) 1230 0 R] +/Limits [(cite.rumpf2001level) (cite.snakegvf06)] >> endobj 2956 0 obj << -/Names [(figure.5.4) 1048 0 R (figure.5.5) 1075 0 R (figure.5.6) 1132 0 R (figure.5.7) 1180 0 R (figure.5.8) 1184 0 R (figure.5.9) 1224 0 R] -/Limits [(figure.5.4) (figure.5.9)] +/Names [(cite.snakegvfopencl12) 1233 0 R (cite.strang1999discrete) 811 0 R (cite.theuwissen2001ccd) 708 0 R (cite.tid2008a) 1978 0 R (cite.tukey77) 772 0 R (cite.van2004detection) 1661 0 R] +/Limits [(cite.snakegvfopencl12) (cite.van2004detection)] >> endobj 2957 0 obj << -/Names [(figure.6.1) 1316 0 R (figure.6.10) 1548 0 R (figure.6.11) 1567 0 R (figure.6.12) 1588 0 R (figure.6.2) 1401 0 R (figure.6.3) 1402 0 R] -/Limits [(figure.6.1) (figure.6.3)] +/Names [(cite.vedaldi2008quick) 1153 0 R (cite.volkov2010better) 1261 0 R (cite.wang2001image) 986 0 R (cite.wang2003image) 987 0 R (cite.wong2010demystifying) 637 0 R (cite.wu1993optimal) 985 0 R] +/Limits [(cite.vedaldi2008quick) (cite.wu1993optimal)] >> endobj 2958 0 obj << -/Names [(figure.6.4) 1437 0 R (figure.6.5) 1441 0 R (figure.6.6) 1465 0 R (figure.6.7) 1467 0 R (figure.6.8) 1501 0 R (figure.6.9) 1527 0 R] -/Limits [(figure.6.4) (figure.6.9)] +/Names [(cite.xiao2010efficient) 1186 0 R (cite.zheng2011performance) 898 0 R (cite.zheng2012fast) 1250 0 R (equation.4.1.1) 758 0 R (equation.6.2.1) 1290 0 R (equation.6.2.10) 1313 0 R] +/Limits [(cite.xiao2010efficient) (equation.6.2.10)] 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[(subfigure.4.4.7) (subfigure.4.5.3)] >> endobj 3064 0 obj << -/Names [(subfigure.7.10.1) 1797 0 R (subfigure.7.10.2) 1798 0 R (subfigure.7.10.3) 1799 0 R (subfigure.7.10.4) 1800 0 R (subfigure.7.10.5) 1801 0 R (subfigure.7.12.1) 1902 0 R] -/Limits [(subfigure.7.10.1) (subfigure.7.12.1)] +/Names [(subfigure.4.6.1) 856 0 R (subfigure.4.6.2) 857 0 R (subfigure.4.6.3) 858 0 R (subfigure.4.6.4) 859 0 R (subfigure.4.8.1) 884 0 R (subfigure.4.8.2) 886 0 R] +/Limits [(subfigure.4.6.1) (subfigure.4.8.2)] >> endobj 3065 0 obj << -/Names [(subfigure.7.12.2) 1903 0 R (subfigure.7.13.1) 1911 0 R (subfigure.7.13.2) 1912 0 R (subfigure.7.13.3) 1913 0 R (subfigure.7.13.4) 1914 0 R (subfigure.7.13.5) 1915 0 R] -/Limits [(subfigure.7.12.2) (subfigure.7.13.5)] +/Names [(subfigure.5.1.1) 948 0 R (subfigure.5.1.2) 949 0 R (subfigure.5.1.3) 950 0 R (subfigure.5.1.4) 951 0 R (subfigure.5.1.5) 957 0 R (subfigure.5.1.6) 952 0 R] +/Limits [(subfigure.5.1.1) (subfigure.5.1.6)] >> endobj 3066 0 obj << -/Names [(subfigure.7.13.6) 1916 0 R (subfigure.7.13.7) 1917 0 R (subfigure.7.13.8) 1918 0 R (subfigure.7.14.1) 1971 0 R (subfigure.7.14.10) 1980 0 R (subfigure.7.14.11) 1981 0 R] -/Limits [(subfigure.7.13.6) (subfigure.7.14.11)] +/Names [(subfigure.5.10.1) 1225 0 R (subfigure.5.10.2) 1226 0 R (subfigure.5.2.1) 1009 0 R (subfigure.5.2.2) 1010 0 R (subfigure.5.2.3) 1011 0 R (subfigure.5.2.4) 1012 0 R] +/Limits [(subfigure.5.10.1) (subfigure.5.2.4)] >> endobj 3067 0 obj << -/Names [(subfigure.7.14.12) 1982 0 R (subfigure.7.14.13) 1983 0 R (subfigure.7.14.14) 1984 0 R (subfigure.7.14.15) 1985 0 R (subfigure.7.14.16) 1986 0 R (subfigure.7.14.17) 1987 0 R] -/Limits [(subfigure.7.14.12) (subfigure.7.14.17)] +/Names [(subfigure.5.3.1) 1034 0 R (subfigure.5.3.2) 1035 0 R (subfigure.5.3.3) 1036 0 R (subfigure.5.3.4) 1037 0 R (subfigure.5.4.1) 1053 0 R (subfigure.5.4.2) 1054 0 R] +/Limits [(subfigure.5.3.1) (subfigure.5.4.2)] >> endobj 3068 0 obj << -/Names [(subfigure.7.14.18) 1988 0 R (subfigure.7.14.19) 1989 0 R (subfigure.7.14.2) 1972 0 R (subfigure.7.14.20) 1990 0 R (subfigure.7.14.21) 1991 0 R (subfigure.7.14.22) 1992 0 R] -/Limits [(subfigure.7.14.18) (subfigure.7.14.22)] +/Names [(subfigure.5.4.3) 1055 0 R (subfigure.5.4.4) 1056 0 R (subfigure.5.5.1) 1071 0 R (subfigure.5.5.2) 1072 0 R (subfigure.5.5.3) 1073 0 R (subfigure.5.5.4) 1074 0 R] +/Limits [(subfigure.5.4.3) (subfigure.5.5.4)] >> endobj 3069 0 obj << -/Names [(subfigure.7.14.23) 1993 0 R (subfigure.7.14.24) 1994 0 R (subfigure.7.14.25) 1966 0 R (subfigure.7.14.3) 1973 0 R (subfigure.7.14.4) 1974 0 R (subfigure.7.14.5) 1975 0 R] -/Limits [(subfigure.7.14.23) (subfigure.7.14.5)] +/Names [(subfigure.5.7.1) 1176 0 R (subfigure.5.7.2) 1177 0 R (subfigure.5.7.3) 1178 0 R (subfigure.5.7.4) 1179 0 R (subfigure.5.8.1) 1181 0 R (subfigure.5.8.2) 1182 0 R] +/Limits [(subfigure.5.7.1) (subfigure.5.8.2)] >> endobj 3070 0 obj << -/Names [(subfigure.7.14.6) 1976 0 R (subfigure.7.14.7) 1977 0 R (subfigure.7.14.8) 1978 0 R (subfigure.7.14.9) 1979 0 R (subfigure.7.15.1) 2009 0 R (subfigure.7.15.2) 2010 0 R] -/Limits [(subfigure.7.14.6) (subfigure.7.15.2)] +/Names [(subfigure.5.8.3) 1183 0 R (subfigure.5.9.1) 1211 0 R (subfigure.5.9.2) 1212 0 R (subfigure.6.10.1) 1545 0 R (subfigure.6.10.2) 1546 0 R (subfigure.6.10.3) 1547 0 R] +/Limits [(subfigure.5.8.3) (subfigure.6.10.3)] >> endobj 3071 0 obj << -/Names [(subfigure.7.15.3) 2011 0 R (subfigure.7.15.4) 2012 0 R (subfigure.7.15.5) 2013 0 R (subfigure.7.15.6) 2014 0 R (subfigure.7.4.1) 1677 0 R (subfigure.7.4.2) 1678 0 R] -/Limits [(subfigure.7.15.3) (subfigure.7.4.2)] +/Names [(subfigure.6.12.1) 1587 0 R (subfigure.6.12.2) 1578 0 R (subfigure.6.2.1) 1414 0 R (subfigure.6.2.2) 1415 0 R (subfigure.6.2.3) 1416 0 R (subfigure.6.2.4) 1417 0 R] +/Limits [(subfigure.6.12.1) (subfigure.6.2.4)] >> endobj 3072 0 obj << -/Names [(subfigure.7.4.3) 1679 0 R (subfigure.7.4.4) 1680 0 R (subfigure.7.4.5) 1681 0 R (subfigure.7.4.6) 1682 0 R (subfigure.7.5.1) 1716 0 R (subfigure.7.5.10) 1725 0 R] -/Limits [(subfigure.7.4.3) (subfigure.7.5.10)] +/Names [(subfigure.6.2.5) 1418 0 R (subfigure.6.2.6) 1419 0 R (subfigure.6.2.7) 1420 0 R (subfigure.6.2.8) 1421 0 R (subfigure.6.3.1) 1434 0 R (subfigure.6.3.2) 1435 0 R] +/Limits [(subfigure.6.2.5) (subfigure.6.3.2)] >> endobj 3073 0 obj << -/Names [(subfigure.7.5.11) 1726 0 R (subfigure.7.5.12) 1727 0 R (subfigure.7.5.13) 1728 0 R (subfigure.7.5.2) 1717 0 R (subfigure.7.5.3) 1718 0 R (subfigure.7.5.4) 1719 0 R] -/Limits [(subfigure.7.5.11) (subfigure.7.5.4)] +/Names [(subfigure.6.3.3) 1436 0 R (subfigure.6.4.1) 1422 0 R (subfigure.6.4.2) 1423 0 R (subfigure.6.7.1) 1472 0 R (subfigure.6.7.2) 1473 0 R (subfigure.6.7.3) 1474 0 R] +/Limits [(subfigure.6.3.3) (subfigure.6.7.3)] >> endobj 3074 0 obj << -/Names [(subfigure.7.5.5) 1720 0 R (subfigure.7.5.6) 1721 0 R (subfigure.7.5.7) 1722 0 R (subfigure.7.5.8) 1723 0 R (subfigure.7.5.9) 1724 0 R (subfigure.7.7.1) 1737 0 R] -/Limits [(subfigure.7.5.5) (subfigure.7.7.1)] +/Names [(subfigure.6.9.1) 1517 0 R (subfigure.6.9.2) 1518 0 R (subfigure.6.9.3) 1519 0 R (subfigure.6.9.4) 1525 0 R (subfigure.6.9.5) 1520 0 R (subfigure.6.9.6) 1526 0 R] +/Limits [(subfigure.6.9.1) (subfigure.6.9.6)] >> endobj 3075 0 obj << -/Names [(subfigure.7.7.10) 1746 0 R (subfigure.7.7.11) 1747 0 R (subfigure.7.7.12) 1748 0 R (subfigure.7.7.2) 1738 0 R (subfigure.7.7.3) 1739 0 R (subfigure.7.7.4) 1740 0 R] -/Limits [(subfigure.7.7.10) (subfigure.7.7.4)] +/Names [(subfigure.7.10.1) 1889 0 R (subfigure.7.10.2) 1890 0 R (subfigure.7.11.1) 1810 0 R (subfigure.7.11.2) 1811 0 R (subfigure.7.11.3) 1812 0 R (subfigure.7.11.4) 1813 0 R] +/Limits [(subfigure.7.10.1) (subfigure.7.11.4)] >> endobj 3076 0 obj << -/Names [(subfigure.7.7.5) 1741 0 R (subfigure.7.7.6) 1742 0 R (subfigure.7.7.7) 1743 0 R (subfigure.7.7.8) 1744 0 R (subfigure.7.7.9) 1745 0 R (subfigure.7.8.1) 1792 0 R] -/Limits [(subfigure.7.7.5) (subfigure.7.8.1)] +/Names [(subfigure.7.11.5) 1814 0 R (subfigure.7.13.1) 1916 0 R (subfigure.7.13.2) 1917 0 R (subfigure.7.14.1) 1924 0 R (subfigure.7.14.2) 1925 0 R (subfigure.7.14.3) 1926 0 R] +/Limits [(subfigure.7.11.5) (subfigure.7.14.3)] >> endobj 3077 0 obj << -/Names [(subfigure.7.8.2) 1793 0 R (subfigure.7.8.3) 1794 0 R (subfigure.7.8.4) 1795 0 R (subfigure.7.9.1) 1876 0 R (subfigure.7.9.2) 1877 0 R (subfigure.8.4.1) 2212 0 R] -/Limits [(subfigure.7.8.2) (subfigure.8.4.1)] +/Names [(subfigure.7.14.4) 1927 0 R (subfigure.7.14.5) 1928 0 R (subfigure.7.14.6) 1929 0 R (subfigure.7.14.7) 1930 0 R (subfigure.7.14.8) 1931 0 R (subfigure.7.15.1) 1984 0 R] +/Limits [(subfigure.7.14.4) (subfigure.7.15.1)] >> endobj 3078 0 obj << -/Names [(subfigure.8.4.2) 2213 0 R (subfigure.9.1.1) 2307 0 R (subfigure.9.1.2) 2308 0 R (subfigure.9.2.1) 2630 0 R (subfigure.9.2.2) 2631 0 R (subsection.2.2.1) 22 0 R] -/Limits [(subfigure.8.4.2) (subsection.2.2.1)] +/Names [(subfigure.7.15.10) 1993 0 R (subfigure.7.15.11) 1994 0 R (subfigure.7.15.12) 1995 0 R (subfigure.7.15.13) 1996 0 R (subfigure.7.15.14) 1997 0 R (subfigure.7.15.15) 1998 0 R] +/Limits [(subfigure.7.15.10) (subfigure.7.15.15)] >> endobj 3079 0 obj << -/Names [(subsection.2.2.2) 26 0 R (subsection.2.2.3) 30 0 R (subsection.3.2.1) 54 0 R (subsection.3.2.2) 58 0 R (subsection.3.2.3) 62 0 R (subsection.3.2.4) 66 0 R] -/Limits [(subsection.2.2.2) (subsection.3.2.4)] +/Names [(subfigure.7.15.16) 1999 0 R (subfigure.7.15.17) 2000 0 R (subfigure.7.15.18) 2001 0 R (subfigure.7.15.19) 2002 0 R (subfigure.7.15.2) 1985 0 R (subfigure.7.15.20) 2003 0 R] +/Limits [(subfigure.7.15.16) (subfigure.7.15.20)] >> endobj 3080 0 obj << -/Names [(subsection.4.1.1) 78 0 R (subsection.4.1.2) 98 0 R (subsection.4.2.1) 106 0 R (subsection.4.2.2) 110 0 R (subsection.4.2.3) 114 0 R (subsection.4.2.4) 118 0 R] -/Limits [(subsection.4.1.1) (subsection.4.2.4)] +/Names [(subfigure.7.15.21) 2004 0 R (subfigure.7.15.22) 2005 0 R (subfigure.7.15.23) 2006 0 R (subfigure.7.15.24) 2007 0 R (subfigure.7.15.25) 1979 0 R (subfigure.7.15.3) 1986 0 R] +/Limits [(subfigure.7.15.21) (subfigure.7.15.3)] >> endobj 3081 0 obj << -/Names [(subsection.5.2.1) 134 0 R (subsection.5.2.2) 138 0 R (subsection.5.2.3) 142 0 R (subsection.5.3.1) 150 0 R (subsection.5.4.1) 158 0 R (subsection.5.4.2) 162 0 R] -/Limits [(subsection.5.2.1) (subsection.5.4.2)] +/Names [(subfigure.7.15.4) 1987 0 R (subfigure.7.15.5) 1988 0 R (subfigure.7.15.6) 1989 0 R (subfigure.7.15.7) 1990 0 R (subfigure.7.15.8) 1991 0 R (subfigure.7.15.9) 1992 0 R] +/Limits [(subfigure.7.15.4) (subfigure.7.15.9)] >> endobj 3082 0 obj << -/Names [(subsection.5.4.3) 166 0 R (subsection.5.4.4) 170 0 R (subsection.5.4.5) 174 0 R (subsection.6.2.1) 198 0 R (subsection.6.2.2) 202 0 R (subsection.6.2.3) 206 0 R] -/Limits [(subsection.5.4.3) (subsection.6.2.3)] +/Names [(subfigure.7.16.1) 2022 0 R (subfigure.7.16.2) 2023 0 R (subfigure.7.16.3) 2024 0 R (subfigure.7.16.4) 2025 0 R (subfigure.7.16.5) 2026 0 R (subfigure.7.16.6) 2027 0 R] +/Limits [(subfigure.7.16.1) (subfigure.7.16.6)] >> endobj 3083 0 obj << -/Names [(subsection.6.2.4) 210 0 R (subsection.6.3.1) 218 0 R (subsection.6.3.2) 222 0 R (subsection.6.3.3) 230 0 R (subsection.6.3.4) 234 0 R (subsection.6.3.5) 238 0 R] -/Limits [(subsection.6.2.4) (subsection.6.3.5)] +/Names [(subfigure.7.2.1) 1633 0 R (subfigure.7.2.2) 1634 0 R (subfigure.7.5.1) 1690 0 R (subfigure.7.5.2) 1691 0 R (subfigure.7.5.3) 1692 0 R (subfigure.7.5.4) 1693 0 R] +/Limits [(subfigure.7.2.1) (subfigure.7.5.4)] >> endobj 3084 0 obj << -/Names [(subsection.7.2.1) 254 0 R (subsection.7.3.1) 270 0 R (subsection.7.3.2) 274 0 R (subsection.7.3.3) 278 0 R (subsection.7.5.1) 294 0 R (subsection.7.5.2) 298 0 R] -/Limits [(subsection.7.2.1) (subsection.7.5.2)] +/Names [(subfigure.7.5.5) 1694 0 R (subfigure.7.5.6) 1695 0 R (subfigure.7.6.1) 1729 0 R (subfigure.7.6.10) 1738 0 R (subfigure.7.6.11) 1739 0 R (subfigure.7.6.12) 1740 0 R] +/Limits [(subfigure.7.5.5) (subfigure.7.6.12)] >> endobj 3085 0 obj << -/Names [(subsection.8.3.1) 322 0 R (subsection.8.3.2) 326 0 R (subsubsection.4.1.1.1) 82 0 R (subsubsection.4.1.1.2) 86 0 R (subsubsection.4.1.1.3) 90 0 R (subsubsection.4.1.1.4) 94 0 R] -/Limits [(subsection.8.3.1) (subsubsection.4.1.1.4)] +/Names [(subfigure.7.6.13) 1741 0 R (subfigure.7.6.2) 1730 0 R (subfigure.7.6.3) 1731 0 R (subfigure.7.6.4) 1732 0 R (subfigure.7.6.5) 1733 0 R (subfigure.7.6.6) 1734 0 R] +/Limits [(subfigure.7.6.13) (subfigure.7.6.6)] >> endobj 3086 0 obj << -/Names [(subsubsection.6.3.2.1) 226 0 R (subsubsection.7.2.1.1) 258 0 R (subsubsection.7.2.1.2) 262 0 R (subsubsection.7.3.3.1) 282 0 R (table.2.1) 636 0 R (table.6.1) 1317 0 R] -/Limits [(subsubsection.6.3.2.1) (table.6.1)] +/Names [(subfigure.7.6.7) 1735 0 R (subfigure.7.6.8) 1736 0 R (subfigure.7.6.9) 1737 0 R (subfigure.7.8.1) 1750 0 R (subfigure.7.8.10) 1759 0 R (subfigure.7.8.11) 1760 0 R] +/Limits [(subfigure.7.6.7) (subfigure.7.8.11)] >> endobj 3087 0 obj << -/Names [(table.6.2) 1440 0 R (table.6.3) 1491 0 R (table.6.4) 1568 0 R (table.7.1) 1906 0 R (table.7.2) 1730 0 R (table.7.3) 2016 0 R] -/Limits [(table.6.2) (table.7.3)] +/Names [(subfigure.7.8.12) 1761 0 R (subfigure.7.8.2) 1751 0 R (subfigure.7.8.3) 1752 0 R (subfigure.7.8.4) 1753 0 R (subfigure.7.8.5) 1754 0 R (subfigure.7.8.6) 1755 0 R] +/Limits [(subfigure.7.8.12) (subfigure.7.8.6)] >> endobj 3088 0 obj << -/Names [(table.8.1) 2098 0 R (table.8.2) 2215 0 R (table.8.3) 2216 0 R (table.8.4) 2223 0 R (table.9.1) 2298 0 R (table.9.2) 2299 0 R] -/Limits [(table.8.1) (table.9.2)] +/Names [(subfigure.7.8.7) 1756 0 R (subfigure.7.8.8) 1757 0 R (subfigure.7.8.9) 1758 0 R (subfigure.7.9.1) 1805 0 R (subfigure.7.9.2) 1806 0 R (subfigure.7.9.3) 1807 0 R] +/Limits [(subfigure.7.8.7) (subfigure.7.9.3)] >> endobj 3089 0 obj << -/Names [(table.9.3) 2320 0 R (table.9.4) 2527 0 R (table.9.5) 2614 0 R (table.9.6) 2588 0 R (table.9.7) 2617 0 R (table.9.8) 2616 0 R] -/Limits [(table.9.3) (table.9.8)] +/Names [(subfigure.7.9.4) 1808 0 R 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of the different memory types available %%-------------------- %% Set the English keywords. They only appear if %% there is an English abstract -\thesiskeywords[english]{GPU, Filtering, Image, Segmentation} +\thesiskeywords[english]{GPU, Filtering, Image, Segmentation, Parallel, Median, Convolution} %% -------------------- %% Set the French abstract @@ -97,7 +97,7 @@ Dans cette thèse, nous proposons des méthodes conduisant à des implémentatio %%-------------------- %% Set the French keywords. They only appear if %% there is an French abstract -\thesiskeywords[french]{GPU, Filtrage, Image, Segmentation} +\thesiskeywords[french]{GPU, Filtrage, Image, Segmentation, Parallèle, Médian, Convolution} %%-------------------- %% Change the speciality of the PhD thesis diff --git a/THESE/these.toc b/THESE/these.toc index d038de9..7b6d33c 100644 --- a/THESE/these.toc +++ b/THESE/these.toc @@ -61,20 +61,20 @@ \contentsline {subsection}{\numberline {6.3.5}Conclusion}{73}{subsection.6.3.5} \contentsline {chapter}{\numberline {7}R\IeC {\'e}duction de bruit par recherche des lignes de niveaux}{75}{chapter.7} \contentsline {section}{\numberline {7.1}Introduction}{75}{section.7.1} -\contentsline {section}{\numberline {7.2}Pr\IeC {\'e}sentation de l'algorithme}{76}{section.7.2} -\contentsline {subsection}{\numberline {7.2.1}Formulation}{76}{subsection.7.2.1} -\contentsline {subsubsection}{\numberline {7.2.1.1}D\IeC {\'e}termination du premier segment}{76}{subsubsection.7.2.1.1} -\contentsline {subsubsection}{\numberline {7.2.1.2}Isolines compos\IeC {\'e}es de plusieurs segments - crit\IeC {\`e}re d'allongement}{78}{subsubsection.7.2.1.2} -\contentsline {section}{\numberline {7.3}Mod\IeC {\'e}lisation des isolines pour l'impl\IeC {\'e}mentation parall\IeC {\`e}le sur GPU}{79}{section.7.3} -\contentsline {subsection}{\numberline {7.3.1}Isolines \IeC {\'e}valu\IeC {\'e}es semi-globalement}{80}{subsection.7.3.1} -\contentsline {subsection}{\numberline {7.3.2}Isolines \IeC {\`a} segments pr\IeC {\'e}-\IeC {\'e}valu\IeC {\'e}s - mod\IeC {\`e}le PI-PD}{82}{subsection.7.3.2} -\contentsline {subsection}{\numberline {7.3.3}Mod\IeC {\`e}le PI-PD hybride}{84}{subsection.7.3.3} -\contentsline {subsubsection}{\numberline {7.3.3.1}Le d\IeC {\'e}tecteur de bords}{85}{subsubsection.7.3.3.1} -\contentsline {section}{\numberline {7.4}R\IeC {\'e}sultats}{88}{section.7.4} -\contentsline {section}{\numberline {7.5}Extension aux images couleurs}{90}{section.7.5} -\contentsline {subsection}{\numberline {7.5.1}Expression du crit\IeC {\`e}re}{90}{subsection.7.5.1} -\contentsline {subsection}{\numberline {7.5.2}R\IeC {\'e}sultats - analyse}{91}{subsection.7.5.2} -\contentsline {section}{\numberline {7.6}Conclusion}{94}{section.7.6} +\contentsline {section}{\numberline {7.2}Pr\IeC {\'e}sentation de l'algorithme}{77}{section.7.2} +\contentsline {subsection}{\numberline {7.2.1}Formulation}{77}{subsection.7.2.1} +\contentsline {subsubsection}{\numberline {7.2.1.1}D\IeC {\'e}termination du premier segment}{77}{subsubsection.7.2.1.1} +\contentsline {subsubsection}{\numberline {7.2.1.2}Isolines compos\IeC {\'e}es de plusieurs segments - crit\IeC {\`e}re d'allongement}{79}{subsubsection.7.2.1.2} +\contentsline {section}{\numberline {7.3}Mod\IeC {\'e}lisation des isolines pour l'impl\IeC {\'e}mentation parall\IeC {\`e}le sur GPU}{80}{section.7.3} +\contentsline {subsection}{\numberline {7.3.1}Isolines \IeC {\'e}valu\IeC {\'e}es semi-globalement}{81}{subsection.7.3.1} +\contentsline {subsection}{\numberline {7.3.2}Isolines \IeC {\`a} segments pr\IeC {\'e}-\IeC {\'e}valu\IeC {\'e}s - mod\IeC {\`e}le PI-PD}{83}{subsection.7.3.2} +\contentsline {subsection}{\numberline {7.3.3}Mod\IeC {\`e}le PI-PD hybride}{85}{subsection.7.3.3} +\contentsline {subsubsection}{\numberline {7.3.3.1}Le d\IeC {\'e}tecteur de bords}{86}{subsubsection.7.3.3.1} +\contentsline {section}{\numberline {7.4}R\IeC {\'e}sultats}{89}{section.7.4} +\contentsline {section}{\numberline {7.5}Extension aux images couleurs}{91}{section.7.5} +\contentsline {subsection}{\numberline {7.5.1}Expression du crit\IeC {\`e}re}{91}{subsection.7.5.1} +\contentsline {subsection}{\numberline {7.5.2}R\IeC {\'e}sultats - analyse}{92}{subsection.7.5.2} +\contentsline {section}{\numberline {7.6}Conclusion}{95}{section.7.6} \contentsline {chapter}{\numberline {8}Le filtre m\IeC {\'e}dian sur GPU}{99}{chapter.8} \contentsline {section}{\numberline {8.1}Introduction}{99}{section.8.1} \contentsline 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