X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/canny.git/blobdiff_plain/03f2db2f776786ee6e9435d3c0f603b248cdd2ae..ef06623aa40e69d9e5332208f9ead5af2e7ea4b6:/intro.tex?ds=sidebyside 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}.