X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/canny.git/blobdiff_plain/4b63033789d12bbc41ec23cb66990c458be402b0..015cc4483b5fad96f800f465951715ed02163ffc:/main.tex?ds=sidebyside

diff --git a/main.tex b/main.tex
index 0f789bd..272293e 100755
--- a/main.tex
+++ b/main.tex
@@ -32,7 +32,8 @@
 
 
 \title[STABYLO]{STABYLO: 
-a lightweight edge-based steganographic approach}
+STeganography with 
+Adaptive,  Bbs, and binarY embedding at LOw cost.}
 
 \author{Jean-Fran\c cois Couchot, Raphael Couturier, and  Christophe Guyeux\thanks{Authors in alphabetic order}}
 
@@ -104,14 +105,17 @@ a scheme that can reasonably face up-to-date steganalysers.
 \input{ourapproach.tex}
 
 
+\section{Complexity Analysis}\label{sub:complexity}
+\input{comlexity}
+
 \section{Experiments}\label{sec:experiments}
 \input{experiments}
 
 
 \section{Conclusion}\label{sec:concl}
 
-The STABYLO algorithm, whose acronym means STeganography 
-with cAnny, Bbs, binarY embedding at LOw cost, has been introduced 
+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.
@@ -121,22 +125,16 @@ 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, 
-BIQI, and weighted PSNR) and we have used well-established steganalysers.
+BIQI, and weighted PSNR), we have used 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.
 
 
-c
-
 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 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