X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/canny.git/blobdiff_plain/100ac9908382b8de480dae1fd68829f2a7778b5d..24da70a2907152b45f175222de4962951669ac12:/experiments.tex?ds=inline diff --git a/experiments.tex b/experiments.tex index a79b1d4..b952fae 100644 --- a/experiments.tex +++ b/experiments.tex @@ -1,18 +1,40 @@ \subsection{Image Quality} The visual quality of the STABYLO scheme is evaluated in this section. -Three metrics are computed in these experiments : +Four metrics are computed in these experiments : the Peak Signal to Noise Ratio (PSNR), -the PSNR-HVS-M~\cite{PSECAL07,psnrhvsm11} and the BIQI~\cite{MB10,biqi11}. +the PSNR-HVS-M familly~\cite{PSECAL07,psnrhvsm11} , +the BIQI~\cite{MB10,biqi11} and +the weigthed PSNR (wPSNR)~\cite{DBLP:conf/ih/PereiraVMMP01}. The first one is widely used but does not take into account Human Visual System (HVS). -The two last ones have been designed to tackle this problem. +The other last ones have been designed to tackle this problem. +\begin{table} +\begin{center} +\begin{tabular}{|c|c|c|} +\hline +Embedding rate & Adaptive +10 \% & \\ +\hline +PSNR & & \\ +\hline +PSNR-HVS-M & 78.6 & 72.9 \\ +\hline +BIQI & 28.3 & 28.4 \\ +\hline +wPSNR & 86.43& 77.47 \\ +\hline +\end{tabular} +\end{center} +\caption{Quality measeures of our steganography approach\label{table:quality}} +\end{table} -biqi = 28.3 -psnr-hvs-m= 78,6 -psnr-hvs= 67.3 +Compare to the Edge Adpative scheme detailed in~\cite{Luo:2010:EAI:1824719.1824720}, our both wPSNR and PSNR values are always higher than their ones. + +\JFC{comparer aux autres approaches} + \subsection{Steganalysis} @@ -35,4 +57,21 @@ can be a favourably executed thanks to an Ensemble Classifiers. -\JFC{Raphael, il faut donner des résultats ici} \ No newline at end of file +\begin{table} +\begin{center} +\begin{tabular}{|c|c|c|c|} +Shemes & \multicolumn{2}{|c|}{STABYLO} & HUGO\\ +\hline +Embedding rate & Adaptive & 10 \% & 10 \%\\ +\hline +AUMP & 0.39 & 0.22 & 0.50 \\ +\hline +Ensemble Classifier & & & \\ + +\hline +\end{tabular} +\end{center} +\caption{Steganalysing STABYLO\label{table:steganalyse}} +\end{table} + +