X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/canny.git/blobdiff_plain/b4843601742819057d2d60095cc2adb85f5b267b..3c3e9a12f31ac42d0c3e7eb1be25aeafb7f7b3db:/intro.tex?ds=sidebyside

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@@ -67,9 +67,14 @@ in a cover image, edges already break the  continuity of pixels' intensity map a
 pixels. In other words, minor changes in regular areas are more dramatic than larger modifications in edge ones. 
 Our first proposal is thus to embed message bits into edge shapes while preserving other smooth regions. 
 
-Edge based steganographic schemes have already been  studied, the most interesting 
-approaches being detailed in~\cite{Luo:2010:EAI:1824719.1824720} and \cite{DBLP:journals/eswa/ChenCL10}.
-In the former, the authors show how to select sharper edge regions with respect 
+Edge based steganographic schemes have already been  studied, 
+the most interesting 
+approaches being detailed in~\cite{Luo:2010:EAI:1824719.1824720} and 
+in~\cite{DBLP:journals/eswa/ChenCL10}.
+In the former, the authors presents the Edge Adaptive
+Image Steganography based on lsb matching revisited further denoted as to 
+EAISLSBMR. This approach selects sharper edge
+ regions with respect 
 to a given embedding rate: the larger the number of bits to be embedded, the coarser
 the edge regions are.
 Then the data hiding algorithm is achieved by applying LSBMR on pixels of these regions.