X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/canny.git/blobdiff_plain/2c6d2e996331823feff8ace14279a8564d7238cf..c6d3dd0e0b8e5c982b6a8d28649ab4079666815d:/ourapproach.tex?ds=inline

diff --git a/ourapproach.tex b/ourapproach.tex
index 3e012ea..4099700 100644
--- a/ourapproach.tex
+++ b/ourapproach.tex
@@ -1,8 +1,8 @@
-The flowcharts given in Fig.~\ref{fig:sch} summarize our steganography scheme denoted as to
-STABYLO for STeganography with Canny, Bbs, binarY embedding at LOw cost.
-What follows successively details all the inner steps and flow inside 
-the embedding stage (Fig.\ref{fig:sch:emb}) 
-and inside the extraction one (Fig.~\ref{fig:sch:ext}).
+The flowcharts given in Fig.~\ref{fig:sch} summarize our steganography scheme denoted by
+STABYLO, which stands for STeganography with Canny, Bbs, binarY embedding at LOw cost.
+What follows successively details all the inner steps and flows inside 
+both the embedding stage (Fig.~\ref{fig:sch:emb}) 
+and the extraction one (Fig.~\ref{fig:sch:ext}).
 
 
 \begin{figure*}[t]
@@ -42,10 +42,10 @@ scheme.
 \subsubsection{Edge Based Image Steganography}
 
 
-Edge Based Image Steganography schemes 
-already studied~\cite{Luo:2010:EAI:1824719.1824720,DBLP:journals/eswa/ChenCL10} differ 
-how they select edge pixels, and  
-how they modify these ones.
+The edge based image steganography schemes 
+already presented (\cite{Luo:2010:EAI:1824719.1824720,DBLP:journals/eswa/ChenCL10}) differ 
+in how carefully they select edge pixels, and  
+how they modify them.
 
 Image Quality: Edge Image Steganography
 \JFC{Raphael, les fuzzy edge detection sont souvent utilisÃ©s. 
@@ -53,9 +53,11 @@ Image Quality: Edge Image Steganography
   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
+Many techniques have been proposed in the literature to  detect 
+edges in  images. 
+The most common ones are filter
+edge detection methods such as Sobel  or Canny filters, low order methods such as
+first order  and second order ones. These methods  are based on  gradient or
 Laplace  operators and  fuzzy edge  methods, which  are based  on fuzzy  logic to
 highlight edges.
 
@@ -85,7 +87,7 @@ In order to be able to compute the same set of edge pixels, we suggest to consid
 Next, following~\cite{Luo:2010:EAI:1824719.1824720}, our scheme automatically
 modifies the Canny algorithm 
 parameters to get a sufficiently large set of edge bits: this 
-one is practically enlarged untill its size is at least twice as many larger 
+one is practically enlarged until its size is at least twice as many larger 
 than the size of embedded message.
 
 % Edge Based Image Steganography schemes 
