maj

[canny.git] / main.tex

diff --git a/main.tex b/main.tex
index 9c672af4b17dafd02bdd7e747c827c5d84c78d6b..aa7b7354f5fc5d3c53450cdffabd18350f5b9dc8 100755 (executable)
--- a/main.tex
+++ b/main.tex
@@ -1,15 +1,9 @@
 \documentclass[10pt]{NSP1}
-\usepackage{url,floatflt}
-\usepackage{helvet,times}
-\usepackage{psfig,graphics}
+\usepackage{url}
+\usepackage{graphicx}
 \usepackage{mathptmx,amsmath,amssymb,bm}
-\usepackage{float}
-\usepackage[bf,hypcap]{caption}
 \usepackage{subfig}
 \usepackage{color}
-%\usepackage{graphicx}
-\usepackage{url}
-\usepackage{cite}
 
 
 \tolerance=1
@@ -36,8 +30,6 @@
 
 
 
-\begin{document}
-
 \titlefigurecaption{{\large \bf \rm Applied Mathematics \& Information Sciences }\\ {\it\small An International Journal}}
 
 
@@ -80,7 +72,7 @@ edge-based steganographic approach}
 
 \mail{jean-francois.couchot@femto-st.fr}
 
-\newcommand{\JFC}[1]{\begin{color}{green}\textit{}\end{color}}
+\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}}
 % make the title area
@@ -96,7 +88,7 @@ edge-based steganographic approach}
 \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
-Highly Undetectable steGO (HUGO) method, a well known state of the art
+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, 
@@ -107,6 +99,8 @@ coding theory, and cryptography are combined together, leading to
 a scheme that can reasonably face up-to-date steganalysers.}
 
 
+\begin{document}
+
 \maketitle
 
 
@@ -139,6 +133,13 @@ After having introduced with details the proposed method,
 we have evaluated it through noise measures (namely, the PSNR, PSNR-HVS-M, 
 BIQI, and weighted PSNR) and using well established steganalysers.
 
+% Of course, other detectors like the fuzzy edge methods
+% deserve much further attention, which is why we intend 
+% to investigate systematically all of these detectors in our next work.
+
+
+
+
 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