X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/canny.git/blobdiff_plain/5b25d5109dc4414ee3430627eb426d63b8622b63..a3357d6b29e593130b03bff91bd71f7865775e37:/intro.tex?ds=inline

diff --git a/intro.tex b/intro.tex
index 026e92e..e6a3d97 100644
--- a/intro.tex
+++ b/intro.tex
@@ -5,24 +5,24 @@ In this data hiding scheme a subset of all the LSBs of the cover image is modifi
 with a secret bit stream depending on a key, the cover, and the message to embed.
 This well studied steganographic approach  never decreases (resp. increases)
 pixel with even value (resp. odd value) and may break structural symmetry.
-These structural modification can be detected  by statistical approaches 
+These structural modifications can be detected  by statistical approaches 
 and thus by steganalysis methods~\cite{DBLP:journals/tsp/DumitrescuWW03,DBLP:conf/mmsec/FridrichGD01,Dumitrescu:2005:LSB:1073170.1073176}.
 
 This drawback is avoided in LSB matching (LSBM) where
 the $+1$ or $-1$ is randomly added to the cover pixel LSB value 
 only if this one does not match the secret bit.
-Since probabilities of increasing or decreasing pixel value are the same, statistical approaches 
-cannot be applied there to discover stego-images in LSBM.
-The most accurate detectors for this matching are universal steganalysers such as~\cite{LHS08,DBLP:conf/ih/2005,FK12}
+Since probabilities of increasing or decreasing the pixel value are the same, statistical approaches 
+cannot be applied here to discover stego-images in LSBM.
+The most accurate detectors for this matching are universal steganalysers such as~\cite{LHS08,DBLP:conf/ih/2005,FK12},
 which classify images thanks to extracted features from neighboring elements of noise residual.  
 
 
-LSB matching revisited (LSBMR)~\cite{Mielikainen06} have been recently introduced. 
+LSB matching revisited (LSBMR) has been recently introduced in~\cite{Mielikainen06}. 
 For a given pair of pixels, in which the LSB
 of the first pixel carries one bit of secret message, and the relationship
 (oddâeven combination) of the two pixel values carries
 another bit of secret message. 
-
+\CG{Je pige pas cette phrase, et je comprends pas l'explication du LSBMR :/}
 
 
 In such a way, the modification
@@ -31,7 +31,7 @@ rate of pixels can decrease from 0.5 to 0.375 bits/pixel
 changes to the cover image at the same payload compared to
 LSB replacement and LSBM. It is also shown that such a new
 scheme can avoid the LSB replacement style asymmetry, and
-thus it should make the detection slightly more difficult than the
+thus it should make the detection slightly more difficult than in the
 LSBM approach. % based on our experiments
 
 
