mineur

[canny.git] / ourapproach.tex

diff --git a/ourapproach.tex b/ourapproach.tex
index 5fc4f7e1f5ef6bea7c7bf32c3b585cd611dfef33..28f826342d7d0423d7fe2db5a9b13ea4446ab8d0 100644 (file)
--- a/ourapproach.tex
+++ b/ourapproach.tex
@@ -10,7 +10,8 @@ and inside the extraction one(Fig.~\ref{fig:sch:ext}).
     \subfloat[Data Embedding.]{
       \begin{minipage}{0.49\textwidth}
         \begin{center}
-          \includegraphics[width=5cm]{emb.pdf}
+%          \includegraphics[width=5cm]{emb.pdf}
+          \includegraphics[width=5cm]{emb.ps}
         \end{center}
       \end{minipage}
       \label{fig:sch:emb}
@@ -18,7 +19,8 @@ and inside the extraction one(Fig.~\ref{fig:sch:ext}).
     \subfloat[Data Extraction.]{
       \begin{minipage}{0.49\textwidth}
         \begin{center}
-          \includegraphics[width=5cm]{rec.pdf}
+%          \includegraphics[width=5cm]{rec.pdf}
+          \includegraphics[width=5cm]{rec.ps}
         \end{center}
       \end{minipage}
       \label{fig:sch:ext}
@@ -31,22 +33,10 @@ and inside the extraction one(Fig.~\ref{fig:sch:ext}).
 
 \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/+
+Détailler \cite{Fillatre:2012:ASL:2333143.2333587}
 
-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. 
+Vainqueur du BOSS challenge~\cite{DBLP:journals/tifs/KodovskyFH12}
 
 
 \subsection{Data Embedding} 
@@ -58,7 +48,7 @@ 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,
-  en terme de complexité. }
+  en terme de complexité. } \cite{KF11}
 
 
 Presentation des algos de detection de contour