avant complexite

diff --git a/complexity.tex b/complexity.tex
index 304ab329262c10ab37a994f979ddcc8548ab1d6e..e2f0203c03e9854be80a7fa38783764e5fc9a46a 100644 (file)
--- a/complexity.tex
+++ b/complexity.tex
@@ -1,7 +1,9 @@
 
 This section aims at justifying the lightweight attribute of our approach.
-To be more precise, we compare the complexity of our schemes to the 
- best available steganographic scheme, namely HUGO~\cite{DBLP:conf/ih/PevnyFB10}.
+To be more precise, we compare the complexity of our schemes to some of 
+current state of the art of 
+steganographic scheme, namely HUGO~\cite{DBLP:conf/ih/PevnyFB10},
+WOW~\cite{conf/wifs/HolubF12}, and UNIWARD~\cite{HFD14}.
 
 
 In what follows, we consider a $n \times n$ square image. 

diff --git a/intro.tex b/intro.tex
index 167b7dd87dd5777b13298d9497d2c7ee4fd96ce9..28463eebe0471d0c2fb800af4fce359f6424a6a2 100644 (file)
--- a/intro.tex
+++ b/intro.tex
@@ -45,17 +45,29 @@ LSBM approach. % based on our experiments
 
 Additionally to (efficiently) modifying LSBs, there is also a need to select pixels whose value 
 modification minimizes a distortion function.
-This distortion may be computed thanks to feature vectors that are embedded for instance in the steganalysers
+This distortion may be computed thanks to feature vectors that
+ are embedded for instance in the steganalysers
 referenced above. 
-The Highly Undetectable steGO (HUGO) method~\cite{DBLP:conf/ih/PevnyFB10} is one of the most efficient instance of such a scheme.
-It takes into account so-called SPAM features 
-%(whose size is larger than $10^7$) 
-to avoid over-fitting a particular 
-steganalyser. Thus a distortion measure for each pixel is individually determined as the sum of the differences between
+The Highly Undetectable steGO (HUGO) method~\cite{DBLP:conf/ih/PevnyFB10},
+WOW~\cite{conf/wifs/HolubF12}, and UNIWARD~\cite{HFD14}
+are some of the  most efficient instances of such a scheme.
+
+HUGO takes into account so-called SPAM features.
+Thus a distortion measure for each
+pixel is individually determined as the sum of the differences between
 the features of the SPAM computed from the cover and from the stego images.
-Due to this features set, HUGO allows to embed messages that are $7$ times longer than the former ones with the same level of 
+The features embedded in WOW and UNIWARD are based on Wavelet-based 
+directional filter. Thus, similarelly, the distortion function is 
+the sum  of the differences between these wavelet coefficients  
+computed from the cover and from the stego images.
+
+
+Due to this distortion measures, HUGO, WOW and UNIWARD allow
+to embed messages that are $7$ times longer than the former
+ones with the same level of 
 indetectability as LSB matching. 
-However, this improvement is time consuming, mainly due to the distortion function
+However, this improvement is time consuming, mainly due to
+ the distortion function
 computation. 
 
 
@@ -126,7 +138,7 @@ The remainder of this document is organized as follows.
 Section~\ref{sec:ourapproach} presents the details of the proposed steganographic scheme and applies it on a running example. Among its technical description, 
 its adaptive aspect is emphasized.
 Section~\ref{sub:complexity} presents the overall complexity of our approach
-and compares it to the HUGO's one.
+and compares it to HUGO, WOW, and UNIWARD.
 Section~\ref{sec:experiments} shows experiments on image quality, steganalysis evaluation, and compares them to the state of the art steganographic schemes.
 Finally, concluding notes and future work are given in Section~\ref{sec:concl}.
 

diff --git a/main.tex b/main.tex
index 7d0132e6c76373a4a6a95c5875361b4aea81685c..281d2d6694e477d08aeb464f0dab939ed8edef77 100755 (executable)
--- a/main.tex
+++ b/main.tex
@@ -83,8 +83,8 @@ Adaptive,  Bbs, and binarY embedding at LOw cost}
 A new steganographic method called STABYLO is introduced in 
 this research work.
 Its main advantage is to be much lighter than the so-called
-Highly Undetectable steGO (HUGO) scheme, a well-known state of the art
-steganographic process in the spatial domain.
+HUGO, WOW, and UNIWARDS schemes, the state of the art
+steganographic processes.
 Additionally to this effectiveness, 
 quite comparable results through noise measures like PSNR-HVS-M 
 and weighted PSNR (wPSNR) are obtained.
@@ -119,8 +119,9 @@ a scheme that can reasonably face up-to-date steganalysers.
 The STABYLO algorithm, whose acronym means STeganography with 
 Adaptive,  Bbs, and binarY embedding at LOw cost, has been introduced 
 in this document as an efficient method having comparable, though
-somewhat smaller, security than the well-known
-Highly Undetectable steGO (HUGO) steganographic scheme.
+somewhat smaller, security than well-known
+steganographic schemes lite 
+HUGO, WOW, and UNIWARD.
 This edge-based steganographic approach embeds a Canny
 detection filter, the Blum-Blum-Shub cryptographically secure
 pseudorandom number generator, together with Syndrome-Trellis Codes