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
+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
To sum up, in this research work, well studied and experimented
techniques of signal processing (adaptive edges detection),
-coding theory (syndrome-treillis codes), and cryptography
+coding theory (syndrome-trellis codes), and cryptography
(Blum-Goldwasser encryption protocol) are combined
to compute an efficient steganographic
scheme, whose principal characteristic is to take into
consideration the cover image and to be compatible with small computation resources.
The remainder of this document is organized as follows.
-Section~\ref{sec:ourapproach} presents the details of the proposed steganographic scheme.
+Section~\ref{sec:ourapproach} presents the details of the proposed steganographic scheme and applies it on a running example.
Section~\ref{sec:experiments} shows experiments on image quality, steganalytic evaluation, complexity of our approach,
and compares it to the state of the art steganographic schemes.
Finally, concluding notes and future work are given in Section~\ref{sec:concl}.
