fin des exp

[canny.git] / main.tex

diff --git a/main.tex b/main.tex
index aa7b7354f5fc5d3c53450cdffabd18350f5b9dc8..5a7e01e23c07fc0f018ea8527b1cc5301809cf2d 100755 (executable)
--- a/main.tex
+++ b/main.tex
@@ -4,7 +4,7 @@
 \usepackage{mathptmx,amsmath,amssymb,bm}
 \usepackage{subfig}
 \usepackage{color}
-
+\usepackage{mathtools,etoolbox}
 
 \tolerance=1
 \emergencystretch=\maxdimen
@@ -23,7 +23,7 @@
 \def\theyear{2013}
 
 
-
+\DeclarePairedDelimiter{\abs}{\lvert}{\rvert}
 
 % correct bad hyphenation here
 \hyphenation{op-tical net-works semi-conduc-tor}
@@ -80,19 +80,19 @@ edge-based steganographic approach}
 
 
 %IEEEtran, journal, \LaTeX, paper, template.
-\keywords{Steganography, least-significant-bit (LSB)-based steganography, edge detection, Canny filter, security, syndrome treillis code}
+\keywords{Steganography, least-significant-bit (LSB)-based steganography, edge detection, Canny filter, security, syndrome trellis code}
 
 
 
 
 \abstracttext{A novel steganographic method called STABYLO is introduced in 
 this research work.
-Its main avantage for being is to be much lighter than the so-called
+Its main advantage for being is to be much lighter than the so-called
 Highly Undetectable steGO (HUGO) scheme, a well known state of the art
 steganographic process in spatial domain.
 Additionally to this effectiveness, 
 quite comparable results through noise measures like PSNR-HVS-M, 
-BIQI, and weighted PSNR (wPSNR) are obtained.
+and weighted PSNR (wPSNR) are obtained.
 To achieve the proposed goal, famous experimented 
 components of signal processing, 
 coding theory, and cryptography are combined together, leading to 
@@ -127,7 +127,7 @@ somewhat smaller, security than the well known
 Highly Undetectable steGO (HUGO) steganographic scheme.
 This edge-based steganographic approach embeds a Canny
 detection filter, the Blum-Blum-Shub cryptographically secure
-pseudorandom number generator, together with Syndrome-Treillis Codes
+pseudorandom number generator, together with Syndrome-Trellis Codes
 for minimizing distortion.
 After having introduced with details the proposed method,
 we have evaluated it through noise measures (namely, the PSNR, PSNR-HVS-M, 
@@ -142,10 +142,12 @@ BIQI, and weighted PSNR) and using well established steganalysers.
 
 For future work, the authors' intention is to investigate systematically 
 all the existing edge detection methods, to see if the STABYLO evaluation scores can
-be improved by replacing Canny with another edge filter. We will try
-to take into account the least significant bits too during all the
-stages of the algorithm, hoping by doing so to be closer to the HUGO scores against 
-steganalyzers. Other steganalyzers than the ones used in this document will be
+be improved by replacing Canny with another edge filter. 
+% We will try
+% to take into account the least significant bits too during all the
+% stages of the algorithm, hoping by doing so to be closer to the HUGO scores against 
+% steganalyzers. 
+Other steganalysers than the ones used in this document will be
 examined for the sake of completeness. Finally, the
 systematic replacement of all the LSBs of edges by binary digits provided
 by the BBS generator will be investigated, and the consequences of such a