X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/canny.git/blobdiff_plain/70660073a3e38d00d230d6be415339e48cc23ead..e1c34dc36c5b5d8e9470b0baa3b5e5f80a8647e9:/ourapproach.tex?ds=sidebyside

diff --git a/ourapproach.tex b/ourapproach.tex
index 2bf476f..28f8263 100644
--- a/ourapproach.tex
+++ b/ourapproach.tex
@@ -33,22 +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} 
@@ -60,7 +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