1 @inproceedings{AllainBG08,
2 author = {Marc Allain and Nicolas Bertaux and Fr{\'e}d{\'e}ric Galland},
3 bibsource = {DBLP, http://dblp.uni-trier.de},
5 crossref = {DBLP:conf/acivs/2008},
6 ee = {http://dx.doi.org/10.1007/978-3-540-88458-3_46},
8 title = {Nonparametric Level-Set Segmentation Based on the Minimization of the Stochastic Complexity},
12 @inproceedings{KauffmannP08,
13 author = {Claude Kauffmann and Nicolas Piche},
14 bibsource = {DBLP, http://dblp.uni-trier.de},
16 crossref = {DBLP:conf/icpr/2008},
17 ee = {http://dx.doi.org/10.1109/ICPR.2008.4761628},
19 title = {Cellular automaton for ultra-fast watershed transform on GPU},
24 address = {Los Alamitos, CA, USA},
25 author = {Thomas Schoenemann and Daniel Cremers},
26 doi = {10.1109/TPAMI.2009.79},
28 journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
30 publisher = {IEEE Computer Society},
31 title = {A Combinatorial Solution for Model-Based Image Segmentation and Real-Time Tracking},
37 author = {Michael Kass and Andrew P. Witkin and Demetri Terzopoulos},
38 bibsource = {DBLP, http://dblp.uni-trier.de},
39 ee = {http://dx.doi.org/10.1007/BF00133570},
40 journal = {International Journal of Computer Vision},
43 title = {Snakes: Active contour models},
49 author = {Chenyang Xu and Jerry L. Prince},
50 bibsource = {DBLP, http://dblp.uni-trier.de},
51 ee = {http://dx.doi.org/10.1109/83.661186},
52 journal = {IEEE Transactions on Image Processing},
55 title = {Snakes, shapes, and gradient vector flow},
61 author = {Fr{\'e}d{\'e}ric Galland and Nicolas Bertaux and Philippe R{\'e}fr{\'e}gier},
62 bibsource = {DBLP, http://dblp.uni-trier.de},
63 ee = {http://dx.doi.org/10.1109/TIP.2003.816005},
64 journal = {IEEE Transactions on Image Processing},
67 title = {Minimum description length synthetic aperture radar image segmentation},
73 abstract = {Abstract. Active contours have been proven to be a powerful semiautomatic image segmentation approach, that seems to cope with many applications and different image modalities. However, they exhibit inherent drawbacks, including the sensibility to contour initialization due to the limited capture range of image edges and problems with concave boundary regions. The Gradient Vector Flow replaces the traditional image force and provides an enlarged capture range as well as enhanced concavity extraction capabilities, but it involves an expensive computational effort and considerably increased memory requirements at the time of computation. In this paper, we present an enhancement of the active contour model to facilitate semiautomatic contour detection in huge images. We propose a tile-based image decomposition accompanying an image force computation scheme on demand in order to minimize both computational and memory requirements. We show an efficient implementation of this approach on the basis of general purpose GPU processing providing for continuous active contour deformation without a considerable delay.},
74 author = {Enrico {Dipl.-Inf. Kienel} and Guido {Prof. Dr. Brunnett}},
75 institution = {MONARCH - Dokumenten- und Publikationsservice [http://archiv.tu-chemnitz.de/cgi-bin/interfaces/oai/oai2.pl] (Germany)},
76 keywords = {Active Contours; GPGPU; Gradient Vector Flow; Image Segmentation; Snakes; Tiling; 004},
77 location = {http://www.scientificcommons.org/41680702},
78 publisher = {TU Chemnitz, Fakult{\"a}t f{\"u}r Informatik},
79 title = {GPU-Accelerated Contour Extraction on Large Images Using Snakes},
80 url = {http://archiv.tu-chemnitz.de/pub/2009/0035},
84 @article{ChesnaudRB99,
85 author = {Christophe Chesnaud and Philippe R{\'e}fr{\'e}gier and Vlady Boulet},
86 bibsource = {DBLP, http://dblp.uni-trier.de},
87 ee = {http://www.computer.org/tpami/tp1999/i1145abs.htm},
88 journal = {IEEE Trans. Pattern Anal. Mach. Intell.},
91 title = {Statistical Region Snake-Based Segmentation Adapted to Different Physical Noise Models},
97 author = {Olivier Germain and Philippe R{\'e}fr{\'e}gier},
98 bibsource = {DBLP, http://dblp.uni-trier.de},
99 journal = {Pattern Recognition Letters},
101 pages = {1125--1132},
102 title = {Statistical active grid for segmentation refinement},
108 author = {Olivier Ruch and Philippe R{\'e}fr{\'e}gier},
109 bibsource = {DBLP, http://dblp.uni-trier.de},
110 ee = {http://www.computer.org/tpami/tp1999/i1145abs.htm},
111 journal = {Optics Letters},
114 title = {Minimal-complexity segmentation with a polygonal snake adapted to different optical noise models},
119 @techreport{BlellochTR90,
120 author = {Guy~E. Blelloch},
121 institution = {School of Computer Science, Carnegie Mellon University},
123 number = {CMU-CS-90-190},
124 title = {Prefix Sums and Their Applications},
129 author = {Mark Harris and Shubhabrata Sengupta and John D. Owens},
130 chapter = {39 - Parallel Prefix Sum with CUDA},
132 isbn = {9780321545428},
133 publisher = {Addison-Wesley Professional},
134 title = {Gpu gems 3},
140 organization = {NVIDIA Corporation},
141 title = {NVIDIA CUDA C Programming Guide v3.1.1},
147 organization = {NVIDIA Corporation},
148 title = {NVIDIA Fermi Compatibility Guide},
154 organization = {NVIDIA Corporation},
155 title = {NVIDIA Fermi Tuning Guide},
159 @inproceedings{Dabov09bm3dimage,
160 author = {Kostadin Dabov and Ro Foi and Vladimir Katkovnik and Karen Egiazarian},
161 booktitle = {Proc. Workshop on Signal Processing with Adaptive Sparse Structured Representations (SPARS{\rq}09},
162 title = {BM3D Image Denoising with Shape-Adaptive Principal Component Analysis},
167 abstract = {We propose a method based on the maximum-likelihood technique for removing speckle patterns that plague coherent images. The proposed method is designed for images whose gray levels vary continuously in space. The image model is based on a lattice of nodes corresponding to vertices of triangles in which the gray level of each pixel is produced by linear interpolation. A constraint on isoline gray levels is introduced to regularize the solution.},
168 author = {Nicolas Bertaux and Yann Frauel and Philippe R{\'e}fr{\'e}gier and Bahram Javidi},
169 doi = {10.1364/JOSAA.21.002283},
170 journal = {J. Opt. Soc. Am. A},
171 keywords = {Coherence and statistical optics; Noise in imaging systems; Image processing; Image reconstruction techniques},
174 pages = {2283--2291},
176 title = {Speckle removal using a maximum-likelihood technique with isoline gray-level regularization},
177 url = {http://josaa.osa.org/abstract.cfm?URI=josaa-21-12-2283},
182 @article{Wang04imagequality,
183 author = {Zhou Wang and Alan Conrad Bovik and Hamid Rahim Sheikh and Student Member and Eero P. Simoncelli and Senior Member},
184 journal = {IEEE Transactions on Image Processing},
186 title = {Image Quality Assessment: From Error Visibility to Structural Similarity},
191 @proceedings{denoiselab,
192 author = {Steven Lansel},
193 journal = {Scholl of electrical Engineering},
195 school = {Stanford University},
196 title = {DenoiseLab Philosophy: A Standard Test Set and Evaluation Method to Compare Denoising Algorithms},
200 @article{denoisereview,
201 author = {A. Buades and B. Coll and J.M. Morel},
203 journal = {Multiscale Modeling and Simulation},
206 publisher = {Society for Industrial and Applied Mathematics},
207 title = {A Review of Image Denoising Algorithms, with a New One},
212 @incollection{springerlink:10.1007/3-540-48236-9_16,
213 affiliation = {CMLA, ENS Cachan 61, av du Pr{\'e}sident Wilson 94235 Cachan Cedex France},
214 author = {Pascal Monasse and Fr{\'e}d{\'e}ric Guichard},
215 booktitle = {Scale-Space Theories in Computer Vision},
216 editor = {Mads Nielsen and Peter Johansen and Ole Olsen and Joachim Weickert},
217 isbn = {978-3-540-66498-7},
218 keyword = {Computer Science},
219 note = {10.1007/3-540-48236-9\_16},
221 publisher = {Springer Berlin / Heidelberg},
222 series = {Lecture Notes in Computer Science},
223 title = {Scale-Space from a Level Lines Tree},
224 url = {http://dx.doi.org/10.1007/3-540-48236-9\_16},
229 @inproceedings{caselles97,
230 author = {Vincent Caselles and Bartomeu Coll and Jean-Michel Morel},
231 isbn = {978-3-540-63167-5},
232 journal = {First International Conference on Scale-Space Theory in Computer Vision (Scale-Space'97)},
235 publisher = {Springer},
236 title = {Scale space versus topographic map for natural images},
241 author = {Georges Matheron},
242 isbn = {0-471-57621-2},
244 title = {Random sets and integral geometry},
249 author = {Antoni Buades and Bartomeu Coll and Jean-Michel Morel},
250 bibsource = {DBLP, http://dblp.uni-trier.de},
251 ee = {http://doi.ieeecomputersociety.org/10.1109/TIP.2006.871137},
252 journal = {IEEE Transactions on Image Processing},
254 pages = {1499--1505},
255 title = {The staircasing effect in neighborhood filters and its solution},
260 @inproceedings{mcguire2008median,
261 author = {Morgan Mc{G}uire},
262 booktitle = {ShaderX6},
264 title = {A fast, small-radius GPU median filter},
265 url = {http://graphics.cs.williams.edu/papers/MedianShaderX6},
269 @article{ipol.2011.bcm_nlm,
270 author = {Bartomeu Coll and Jean-Michel Morel and Antoni Buades},
271 journal = {Image Processing On Line},
272 title = {Non-local Means Denoising},
273 doi = {10.5201/ipol.2011.bcm_nlm},
277 @article{PALHANOXAVIERDEFONTES,
278 hal_id = {inria-00476122},
279 url = {http://hal.inria.fr/inria-00476122},
280 title = {{Real time ultrasound image denoising}},
281 author = {Palhano Xavier De Fontes, Fernanda and Andrade Barroso, Guillermo and Coup{\'e}, Pierrick and Hellier, Pierre},
282 abstract = {{Image denoising is the process of removing the noise that perturbs image analysis methods. In some applications like segmentation or registration, denoising is intended to smooth homogeneous areas while preserving the contours. In many applications like video analysis, visual servoing or image-guided surgical interventions, real-time denoising is required. This paper presents a method for real-time denoising of ultrasound images: a modified version of the NL-means method is presented that incorporates an ultrasound dedicated noise model, as well as a GPU implementation of the algorithm. Results demonstrate that the proposed method is very efficient in terms of denoising quality and is real-time.}},
283 language = {Anglais},
284 affiliation = {VISAGES : Vision Action et Gestion d'Informations en Sant{\'e} - VISAGES , Service Exp{\'e}rimentation et D{\'e}veloppement - SED , Montreal Neurological Institute , SERPICO - INRIA},
285 publisher = {Springer},
286 journal = {Journal of Real-Time Image Processing},
287 audience = {internationale },
288 doi = {10.1007/s11554-010-0158-5 },
291 pdf = {http://hal.inria.fr/inria-00476122/PDF/JRTIP.pdf},
295 @inproceedings{YangTA09,
296 author = {Qingxiong Yang and Kar-Han Tan and Narendra Ahuja},
297 bibsource = {DBLP, http://dblp.uni-trier.de},
299 crossref = {DBLP:conf/cvpr/2009},
301 title = {Real-time O(1) bilateral filtering},
302 url = {http://doi.ieeecomputersociety.org/10.1109/CVPRW.2009.5206542},
306 @proceedings{DBLP:conf/cvpr/2009,
307 title = {2009 IEEE Computer Society Conference on Computer Vision
308 and Pattern Recognition (CVPR 2009), 20-25 June 2009, Miami,
313 isbn = {978-1-4244-3992-8},
314 bibsource = {DBLP, http://dblp.uni-trier.de}
320 author = {Gleb Beliakov},
321 bibsource = {DBLP, http://dblp.uni-trier.de},
323 title = {Parallel calculation of the median and order statistics on GPUs with application to robust regression},
324 url = {http://arxiv.org/abs/1104.2732},
325 volume = {abs/1104.2732},
329 @inproceedings{chen09,
330 author = {Wei Chen and M. Beister and Y. Kyriakou and M. Kachelries},
331 booktitle = {Nuclear Science Symposium Conference Record (NSS/MIC), 2009 IEEE},
332 doi = {10.1109/NSSMIC.2009.5402323},
334 keywords = {CUDA-based BVM filter; NVIDIA compute unified device architecture; O(M In M) computational complexity; O(M2) computational complexity; branchless vectorized median filter; computerised tomography; data-level parallelism; fast accessing scheme; high performance median filtering; memory layout; modern commodity graphics processing units; pivot median filter; vectorized median computation; biology computing; computerised tomography; medical image processing},
335 month = {24 2009-nov. 1},
336 pages = {4142--4147},
337 title = {High performance median filtering using commodity graphics hardware},
341 @inproceedings{sanchezICASSP12,
342 author = {Ricardo M. Sanchez and Paul A. Rodriguez},
343 booktitle = {Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on},
344 doi = {10.1109/ICASSP.2012.6288187},
347 pages = {1549--1552},
348 title = {Bidimensional median filter for parallel computing architectures},
352 @INPROCEEDINGS{6036776,
353 author={Perrot, G. and Domas, S. and Couturier, R. and Bertaux, N.},
354 booktitle={Computer and Information Technology (CIT), 2011 IEEE 11th International Conference on}, title={GPU Implementation of a Region Based Algorithm for Large Images Segmentation},
356 month={31 2011-sept. 2},
360 keywords={GPU implementation;Nvidia GPU architecture;algorithmic optimization;graphical processing units;image computing;image segmentation;image size;multicore CPU;multithreaded execution capability;region based algorithm;region-based active contour technique;snake algorithm;computer graphic equipment;coprocessors;image enhancement;image segmentation;multi-threading;multiprocessing systems;optimisation;},
361 doi={10.1109/CIT.2011.60},
365 author = {Tukey, John Wilder},
366 isbn = {0-201-07616-0},
367 publisher = {Addison-Wesley},
368 title = {Exploratory Data Analysis},
372 @INPROCEEDINGS{5402362,
373 author={Kachelriess, M.},
374 booktitle={Nuclear Science Symposium Conference Record (NSS/MIC), 2009 IEEE}, title={Branchless vectorized median filtering},
376 month={24 2009-nov. 1},
380 keywords={CPU-based implementations;Intel performance primitives library;branchless vectorized median filtering;computational complexity;conventional fast median filters;data sorting algorithm;data-level parallelism;doubly linked lists;image processing;instruction pipeline;median algorithm;median filtering noisy data;modern hardware;one-dimensional signals;random data;scalar data;signal processing;sorted array;spin-off effect;vector capabilities;vectorized mask operation;vectorized max operation;vectorized min operation;computational complexity;high energy physics instrumentation computing;median filters;sorting;},
381 doi={10.1109/NSSMIC.2009.5402362},
385 @article{Weiss:2006:FMB:1141911.1141918,
386 author = {Weiss, Ben},
387 title = {Fast median and bilateral filtering},
388 journal = {ACM Trans. Graph.},
389 issue_date = {July 2006},
397 url = {http://doi.acm.org/10.1145/1141911.1141918},
398 doi = {10.1145/1141911.1141918},
401 address = {New York, NY, USA},
402 keywords = {SIMD, algorithms, bilateral filtering, complexity, data structures, histograms, image processing, median filtering, rank-order filtering, sorting, vector processing},
405 @inproceedings{Weiss:2006:FMB:1179352.1141918,
406 author = {Weiss, Ben},
407 title = {Fast median and bilateral filtering},
408 booktitle = {ACM SIGGRAPH 2006 Papers},
409 series = {SIGGRAPH '06},
411 isbn = {1-59593-364-6},
412 location = {Boston, Massachusetts},
415 url = {http://doi.acm.org/10.1145/1179352.1141918},
416 doi = {10.1145/1179352.1141918},
419 address = {New York, NY, USA},
420 keywords = {SIMD, algorithms, bilateral filtering, complexity, data structures, histograms, image processing, median filtering, rank-order filtering, sorting, vector processing},
423 @book{Huang:1981:TDS:539567,
424 author = {Huang, Thomas S.},
425 title = {Two-Dimensional Digital Signal Processing II: Transforms and Median Filters},
428 publisher = {Springer-Verlag New York, Inc.},
429 address = {Secaucus, NJ, USA},
432 @article{zheng2011performance,
433 title={Performance Tuning for CUDA-Accelerated Neighborhood Denoising Filters},
434 author={Zheng, Z. and Xu, W. and Mueller, K.},
435 journal={Workshop on High Performance Image Reconstruction (HPIR)},
440 @INPROCEEDINGS{6288187,
441 author={Sanchez, R.M. and Rodriguez, P.A.},
442 booktitle={Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on}, title={Bidimensional median filter for parallel computing architectures},
448 keywords={adaptive rate compressive sensing;background subtraction;classical CS theory;cross validation;current measurement rate;sensor measurements;signal reconstruction;signal sparsity;time-varying signal;visual surveillance applications;compressed sensing;image reconstruction;video surveillance;},
449 doi={10.1109/ICASSP.2012.6288187},
453 author={Perreault, S. and Hebert, P.},
454 journal={Image Processing, IEEE Transactions on}, title={Median Filtering in Constant Time},
460 keywords={algorithmic runtime complexity;filter kernel radius;image processing;median filtering algorithm;computational complexity;filtering theory;image processing;median filters;Algorithms;Computer Graphics;Image Enhancement;Image Interpretation, Computer-Assisted;Numerical Analysis, Computer-Assisted;Reproducibility of Results;Sensitivity and Specificity;Time Factors;User-Computer Interface;},
461 doi={10.1109/TIP.2007.902329},