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.
-This scheme deals with pairs of pixels instead of individual ones.
-It thus allows to decrease the number of modified bits per cover pixel
-for the same payload compared to LSB replacement and LSBM and
-and avoids the LSB replacement style asymmetry. Unfortunately,
-detectors referenced above are able to distinguish between
-stego content images and cover images.
+For a given pair of pixels, in which the LSB
+of the first pixel carries one bit of secret message, and the relationship
+(odd–even combination) of the two pixel values carries
+another bit of secret message.
+
+
+
+In such a way, the modification
+rate of pixels can decrease from 0.5 to 0.375 bits/pixel
+(bpp) in the case of a maximum embedding rate, meaning fewer
+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
+LSBM approach based on our experiments
+
+
+
+
Instead of (efficiently) modifying LSBs, there is also a need to select pixels whose value
modification minimizes a distortion function.
and compare them to state of the art steganographic schemes.
Finally, concluding notes and future works are given in section~\ref{sec:concl}
-theory : ?
+
