X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/canny.git/blobdiff_plain/e1c34dc36c5b5d8e9470b0baa3b5e5f80a8647e9..36f33066d192d54e79b234d89f223b3f4016ff12:/intro.tex?ds=inline

diff --git a/intro.tex b/intro.tex
index dd24570..745751f 100644
--- a/intro.tex
+++ b/intro.tex
@@ -1,12 +1,12 @@
 
 This work considers digital images as covers and foundation is
 spatial least significant-bit (LSB) replacement.
-I this data hiding scheme a subset of all the LSB of the cover image is modified 
+In this data hiding scheme a subset of all the LSB of the cover image is modified 
 with a secret bit stream depending on to 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 
-and thus by steganalysis methods~\cite{DBLP:journals/tsp/DumitrescuWW03,DBLP:conf/mmsec/FridrichGD01,Dumitrescu:2005:LSB:1073170.1073176}
+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 
@@ -32,7 +32,7 @@ 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
+LSBM approach. % based on our experiments
 
 
 
@@ -49,33 +49,54 @@ features of SPAM computed from the cover and from the stego images.
 Thanks to this feature set, HUGO allows to embed $7\times$ longer messages with the same level of 
 indetectability than LSB matching. 
 However, this improvement is time consuming, mainly due to the distortion function
-computation.
+computation. 
+
 
 There remains a large place between random selection of LSB and feature based modification of pixel values.
 We argue that modifying edge pixels is an acceptable compromise. 
 Edges form the outline of an object: they are the boundary between overlapping objects or between an object
 and the background. A small modification of pixel value in the stego image should not be harmful to the image quality:
 in cover image, edge pixels already break its continuity  and thus already contains large variation with neighbouring 
-pixels. In other words, minor changes in regular area is more dramatic than larger modifications in edge ones. 
+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.
 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.
-However, it has been shown that the distinguish error with LSB embedding is fewer than the one with some binary embedding~\cite{DBLP:journals/tifs/FillerJF11}.
+However, it has been shown that the distinguish error with LSB embedding is fewer than 
+the one with some binary embedding~\cite{DBLP:journals/tifs/FillerJF11}.
 We thus propose to take benefit of these optimized embedding, provided it is not too time consuming.
-Experiments have confirmed such a fact\JFC{Raphael....}. 
+In the latter, an hybrid edge detector is presented followed by an ad'hoc
+embedding approach. 
+The Edge detection is computed by combining fuzzy 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. 
+
+
+But, one can notice that all the previous referenced 
+schemes~\cite{Luo:2010:EAI:1824719.1824720,DBLP:journals/eswa/ChenCL10,DBLP:conf/ih/PevnyFB10}
+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 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.
+
  
 
 \JFC{Christophe : Ã©noncer la problÃ©matique du besoin de crypto et de ``cryptographiquement sÃ»r'',  les algo dÃ©jÃ  cassÃ©s....
 l'efficacitÃ© d'un encodage/dÃ©codage ...} 
-To deal with security issues, message is encrypted 
+To deal with security issues, message is encrypted... 
 
-In this paper, we thus propose to combine tried and tested techniques of signal theory (the adaptive edge detection), coding (the binary embedding), and cryptography 
-(the encrypt the message) to compute an efficient steganography scheme that is amenable to be executed on small devices.  
+In this paper, we thus propose to combine tried and 
+tested techniques of signal theory (the adaptive edge detection), coding (the binary embedding), and cryptography 
+(the encrypt the message) to compute an efficient steganography 
+scheme, which takes into consideration the cover image 
+an which is amenable to be executed on small devices.  
 
 The rest of the paper is organised as follows. 
 Section~\ref{sec:ourapproach} presents the details of our steganographic scheme.
