pixels. In other words, minor changes in regular area are more dramatic than larger modifications in edge ones.
Our proposal is thus to embed message bits into edge shapes while preserving other smooth regions.
-Edge based steganographic schemes have bee already studied~\cite{Luo:2010:EAI:1824719.1824720,DBLP:journals/eswa/ChenCL10}.
+Edge based steganographic schemes have been already studied~\cite{Luo:2010:EAI:1824719.1824720,DBLP:journals/eswa/ChenCL10}.
In the former, the authors show how to select sharper edge regions with respect
-to embedding rate: the larger the number of bits to be embedded, the coarse the edge regions are.
+to 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 this region.
The authors show that this method is more efficient than all the LSB, LSBM, LSBMR approaches
thanks to extensive experiments.
produce stego content
with only considering the payload, not the type of image signal: the higher the payload is,
the better the approach is said to be.
-Contrarely, we argue that some images should'nt be taken as a cover because of the nature of their signal.
+Contrarely, we argue that some images should not be taken as a cover because of the nature of their signal.
Consider for instance a uniformly black image: a very tiny modification of its pixels can be easily detectable.
The approach we propose is thus to provide a self adaptive algorithm with a high payload, which depends on the
cover signal.
