We thus propose to take advantage of this optimized embedding, provided they are not too time consuming.
In the latter, an hybrid edge detector is presented followed by an ad hoc
embedding.
-The Edge detection is computed by combining fuzzy logic~\cite{Tyan1993}
+The Edge detection is computed by combining fuz\-zy logic~\cite{Tyan1993}
and Canny~\cite{Canny:1986:CAE:11274.11275} approaches.
The goal of this combination
is to enlarge the set of modified bits to increase the payload of the data hiding scheme.
pixels can be easily detected.
Practically speaking, if Alice would send
a hidden message to Bob, she would never consider
-such kind of image and a high embedding rate.
+such kind of image and a high embedding rate.
+\JFC{This desire to be adaptive has been
+studied too in~\cite{LiFengyongZhang14},
+but in JPEG frequency domain}.
The approach we propose here is thus to provide a small complexity
self adaptive algorithm
with an acceptable payload, which
long message in the cover signal.
Practically speaking, our approach is efficient enough for
payloads close to 0.06 bit per pixel which allows to embed
-messages of length larger than 15728 bits in an
+messages of length larger than 15,728 bits in an
image of size $512\times 512$ pixels.
% Message extraction is achieved by computing the same
To sum up, well-studied and experimented
techniques of signal processing (adaptive edges detection),
coding theory (syndrome-trellis codes), and cryptography
-(Blum-Goldwasser encryption protocol) are combined in this research work.
+(Blum-Goldwas\-ser encryption protocol) are combined in this research work.
The objective is to compute an efficient steganographic
-scheme, whose principal characteristic is to take into
+sche\-me, 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.
