From: couchot Date: Thu, 18 Sep 2014 08:12:49 +0000 (+0200) Subject: avant complexite X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/canny.git/commitdiff_plain/4d8da06dfcc93848b57c76c1b6cff7ca52f0df4a?ds=inline;hp=-c avant complexite --- 4d8da06dfcc93848b57c76c1b6cff7ca52f0df4a diff --git a/complexity.tex b/complexity.tex index 304ab32..e2f0203 100644 --- a/complexity.tex +++ b/complexity.tex @@ -1,7 +1,9 @@ This section aims at justifying the lightweight attribute of our approach. -To be more precise, we compare the complexity of our schemes to the - best available steganographic scheme, namely HUGO~\cite{DBLP:conf/ih/PevnyFB10}. +To be more precise, we compare the complexity of our schemes to some of +current state of the art of +steganographic scheme, namely HUGO~\cite{DBLP:conf/ih/PevnyFB10}, +WOW~\cite{conf/wifs/HolubF12}, and UNIWARD~\cite{HFD14}. In what follows, we consider a $n \times n$ square image. diff --git a/intro.tex b/intro.tex index 167b7dd..28463ee 100644 --- a/intro.tex +++ b/intro.tex @@ -45,17 +45,29 @@ LSBM approach. % based on our experiments Additionally to (efficiently) modifying LSBs, there is also a need to select pixels whose value modification minimizes a distortion function. -This distortion may be computed thanks to feature vectors that are embedded for instance in the steganalysers +This distortion may be computed thanks to feature vectors that + are embedded for instance in the steganalysers referenced above. -The Highly Undetectable steGO (HUGO) method~\cite{DBLP:conf/ih/PevnyFB10} is one of the most efficient instance of such a scheme. -It takes into account so-called SPAM features -%(whose size is larger than $10^7$) -to avoid over-fitting a particular -steganalyser. Thus a distortion measure for each pixel is individually determined as the sum of the differences between +The Highly Undetectable steGO (HUGO) method~\cite{DBLP:conf/ih/PevnyFB10}, +WOW~\cite{conf/wifs/HolubF12}, and UNIWARD~\cite{HFD14} +are some of the most efficient instances of such a scheme. + +HUGO takes into account so-called SPAM features. +Thus a distortion measure for each +pixel is individually determined as the sum of the differences between the features of the SPAM computed from the cover and from the stego images. -Due to this features set, HUGO allows to embed messages that are $7$ times longer than the former ones with the same level of +The features embedded in WOW and UNIWARD are based on Wavelet-based +directional filter. Thus, similarelly, the distortion function is +the sum of the differences between these wavelet coefficients +computed from the cover and from the stego images. + + +Due to this distortion measures, HUGO, WOW and UNIWARD allow +to embed messages that are $7$ times longer than the former +ones with the same level of indetectability as LSB matching. -However, this improvement is time consuming, mainly due to the distortion function +However, this improvement is time consuming, mainly due to + the distortion function computation. @@ -126,7 +138,7 @@ The remainder of this document is organized as follows. Section~\ref{sec:ourapproach} presents the details of the proposed steganographic scheme and applies it on a running example. Among its technical description, its adaptive aspect is emphasized. Section~\ref{sub:complexity} presents the overall complexity of our approach -and compares it to the HUGO's one. +and compares it to HUGO, WOW, and UNIWARD. Section~\ref{sec:experiments} shows experiments on image quality, steganalysis evaluation, and compares them to the state of the art steganographic schemes. Finally, concluding notes and future work are given in Section~\ref{sec:concl}. diff --git a/main.tex b/main.tex index 7d0132e..281d2d6 100755 --- a/main.tex +++ b/main.tex @@ -83,8 +83,8 @@ Adaptive, Bbs, and binarY embedding at LOw cost} A new steganographic method called STABYLO is introduced in this research work. Its main advantage is to be much lighter than the so-called -Highly Undetectable steGO (HUGO) scheme, a well-known state of the art -steganographic process in the spatial domain. +HUGO, WOW, and UNIWARDS 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. @@ -119,8 +119,9 @@ a scheme that can reasonably face up-to-date steganalysers. 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. +somewhat smaller, security than well-known +steganographic schemes lite +HUGO, WOW, and UNIWARD. This edge-based steganographic approach embeds a Canny detection filter, the Blum-Blum-Shub cryptographically secure pseudorandom number generator, together with Syndrome-Trellis Codes