X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/canny.git/blobdiff_plain/100ac9908382b8de480dae1fd68829f2a7778b5d..01e8c9301dc7bf227e7fbe18962c62bcb9cc848f:/ourapproach.tex?ds=inline

diff --git a/ourapproach.tex b/ourapproach.tex
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+++ b/ourapproach.tex
@@ -41,11 +41,33 @@ scheme.
 
 \subsubsection{Edge Based Image Steganography}
 
+
 Edge Based Image Steganography schemes 
 already studied~\cite{Luo:2010:EAI:1824719.1824720,DBLP:journals/eswa/ChenCL10,DBLP:conf/ih/PevnyFB10} differ 
 how they select edge pixels, and  
 how they modify these ones.
 
+Image Quality: Edge Image Steganography
+\JFC{Raphael, les fuzzy edge detection sont souvent utilisés. 
+  il faudrait comparer les approches en terme de nombre de bits retournés,
+  en terme de complexité. } \cite{KF11}
+\RC{Ben, à voir car on peut choisir le nombre de pixel avec canny. Supposons que les fuzzy edge soient retourne un peu plus de points, on sera probablement plus détectable...  Finalement on devrait surement vendre notre truc en : on a choisi cet algo car il est performant en vitesse/qualité. Mais on peut aussi en utilisé d'autres :-)}
+
+There are  many techniques to  detect edges in  images. Main methods  are filter
+edge detection methods such as Sobel  or Canny filter, low order methods such as
+first order  and second order  methods, these methods  are based on  gradient or
+Laplace  operators and  fuzzy edge  methods which  are based  on fuzzy  logic to
+highlight edges.
+
+Of course, all the algorithms have  advantages and drawbacks which depend on the
+motivation  to  highlight  edges.   Unfortunately  unless testing  most  of  the
+algorithms, which  would require many  times, it is  quite difficult to  have an
+accurate idea on what would produce  such algorithm compared to another. That is
+why we have  chosen canny algorithm which is well  known, fast and implementable
+on many  kinds of architecture, such  as FPGA, smartphone,  desktop machines and
+GPU. And of course, we do not pretend that this is the best solution.
+
+
 First of all, let us discuss about compexity of edge detetction methods.
 Let then $M$ and $N$ be the dimension of the original image. 
 According to~\cite{Hu:2007:HPE:1282866.1282944},