j'ai rajouté une figure avec l'erreur, la valeur du milieu est interpolée :-)

[canny.git] / main.tex

diff --git a/main.tex b/main.tex
index 2996baf8f83fa9d839a379e29c101ed3cdc4edf5..0528ede13516bcb0f1b8753b80ad97f2a410d40b 100755 (executable)
--- a/main.tex
+++ b/main.tex
@@ -59,8 +59,8 @@ Adaptive,  Bbs, and binarY embedding at LOw cost}
 
 
 \newcommand{\JFC}[1]{\begin{color}{green}\textit{#1}\end{color}}
-\newcommand{\RC}[1]{\begin{color}{red}\textit{}\end{color}}
-\newcommand{\CG}[1]{\begin{color}{blue}\textit{}\end{color}}
+\newcommand{\RC}[1]{\begin{color}{red}\textit{#1}\end{color}}
+\newcommand{\CG}[1]{\begin{color}{blue}\textit{#1}\end{color}}
 % make the title area
 
 
@@ -85,9 +85,9 @@ this research work.
 Its main advantage is to be much lighter than the so-called
 HUGO, WOW, and UNIWARD 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.
+% Additionally to this effectiveness, 
+% quite comparable results through noise measures like PSNR-HVS-M 
+% 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 
@@ -131,9 +131,10 @@ The complexity study of our proposed method and of the
 state of the art steganographic tools has shown that our approach 
 has the lowest computation cost among all. 
 This justifies the lightweight attribute of our scheme.
-The evaluation of introduced noise measures 
-(namely, the PSNR, PSNR-HVS-M, and weighted PSNR), 
-and of its embedding through stegenalysers (namely Ensemble Classifier)  
+The evaluation of introduced noise and of
+%  measures 
+% (namely, the PSNR, PSNR-HVS-M, and weighted PSNR), and of 
+its embedding through stegenalysers (namely Ensemble Classifier)  
 have shown that STABYLO is efficient enough to 
 produce qualitative images and 
 to face steganalysers.