poursuite de la suite

diff --git a/main.tex b/main.tex
index da75b8fe140ace548f9928d1062a30bf371381e4..0106fa73b7ce8b92f930eb2a48a6b5f713cf72ac 100755 (executable)
--- a/main.tex
+++ b/main.tex
@@ -50,7 +50,7 @@ Todo
 \input{intro.tex}
 
 
-\section{Our Approach}\label{sec:ourapproach}
+\section{Presentation of the Proposed Approach}\label{sec:ourapproach}
 \input{ourapproach.tex}
 
 \section{Experiments}\label{sec:experiments}

diff --git a/ourapproach.tex b/ourapproach.tex
index fc22e8f2ab2a32ee9a01b30d774b1a0a55f5a9e8..4099700a3af7e86080f956989430d47cde91e819 100644 (file)
--- 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 utilisés. 
@@ -53,9 +53,11 @@ Image Quality: Edge Image Steganography
   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
+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.