ajout d'experiments

[canny.git] / ourapproach.tex

diff --git a/ourapproach.tex b/ourapproach.tex
index 2bf476f6825fa8a647cbcd5749d1a34fedf23daf..9626562e8cce5ff743db4e9ee4b374deb7988a65 100644 (file)
--- a/ourapproach.tex
+++ b/ourapproach.tex
@@ -1,4 +1,4 @@
-The flowcharts given in Fig.~\ref{fig:sch} summarize our steganography scheme denoted as 
+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}) 
 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}) 


@@ -31,24 +31,6 @@ and inside the extraction one(Fig.~\ref{fig:sch:ext}).
 \end{figure*}
 
 
 \end{figure*}
 
 

-\subsection{Steganalysis}
-
-LSB : 
-"Adaptive steganalysis of Least Significant Bit replacement in grayscale natural images"
-
-Structural LSB Detectors:
-\verb+http://dde.binghamton.edu/download/structural_lsb_detectors/+
-
-Vainqueur du BOSS challenge 
-
-
-ensemble:
-
-
-G. Gül and F. Kurugollu. A new methodology in steganalysis : Breaking highly
-undetactable steganograpy (HUGO). In Information Hiding, 13th International
-Workshop, volume 6958 of LNCS, pages 71–84, Prague, Czech Republic, May 18–
-20, 2011. 

 
 
 \subsection{Data Embedding} 
 
 
 \subsection{Data Embedding} 


@@ -60,7 +42,7 @@ Workshop, volume 6958 of LNCS, pages 71–84, Prague, Czech Republic, May 18–
 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,
 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. }
+  en terme de complexité. } \cite{KF11}

 
 
 Presentation des algos de detection de contour
 
 
 Presentation des algos de detection de contour