X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/canny.git/blobdiff_plain/e556b479316abe0d4183c94c28a84f07f9f64c9c..c3438d8c47f3989f6d0d0e6109a3c216cca0d7c7:/main.tex diff --git a/main.tex b/main.tex index fb10cbd..06552df 100755 --- a/main.tex +++ b/main.tex @@ -40,9 +40,10 @@ Steganography, least-significant-bit (LSB)-based steganography, edge detection, A novel steganographic method called STABYLO is introduced in this research work. Its main reason for being is to be much lighter than the so-called Highly Undetectable steGO (HUGO) method, a well known state of the art -steganographic process, while presenting quite comparable results through -noise measures like PSNR-HVS-M, BIQI, and weighted PSNR (wPSNR). -To achieve this goal, famous experimented components of signal processing, +steganographic process. Additionally to this effectiveness, +quite comparable results through noise measures like PSNR-HVS-M, +BIQI, 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 a scheme that can reasonably face up-to-date steganalysers. \end{abstract} @@ -66,9 +67,23 @@ a scheme that can reasonably face up-to-date steganalysers. \section{Conclusion}\label{sec:concl} -The conclusion goes here. - +The STABYLO algorithm, whose acronym means STeganogra- +phy with Canny, Bbs, 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. +This edge-based steganographic approach embeds a Canny +detection filter, the Blum-Blum-Shub cryptographically secure +pseudorandom number generator, together with Syndrome-Treillis 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 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. \bibliographystyle{plain} \bibliography{biblio}