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

diff --git a/ourapproach.tex b/ourapproach.tex
index 4dce984..4539cf1 100644
--- a/ourapproach.tex
+++ 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 utilisÃ©s. 
+  il faudrait comparer les approches en terme de nombre de bits retournÃ©s,
+  en terme de complexitÃ©. } \cite{KF11}
+\RC{Ben, Ã  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 dÃ©tectable...  Finalement on devrait surement vendre notre truc en : on a choisi cet algo car il est performant en vitesse/qualitÃ©. Mais on peut aussi en utilisÃ© 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},
