Merge branch 'master' of ssh://info.iut-bm.univ-fcomte.fr/canny

[canny.git] / experiments.tex

diff --git a/experiments.tex b/experiments.tex
index 245a4618006923172147f19f904b0c9d7b65ef69..9590b1c4982484f286f04cd151f3b821449ac6c5 100644 (file)
--- a/experiments.tex
+++ b/experiments.tex
@@ -216,3 +216,13 @@ However due to its huge number of integration features, it is not lightweight.
 All these numerical experiments confirm 
 the objective presented in the motivations:
 providing an efficient steganography approach in a lightweight manner.
 All these numerical experiments confirm 
 the objective presented in the motivations:
 providing an efficient steganography approach in a lightweight manner.

+
+\RC{In Figure~\ref{fig:error}, Ensemble Classifier has been used with all the previsou steganalizers with 3 different payloads. It can be observed that with important payload, STABYLO is not efficient, but as mentionned its complexity is far more simple compared to other tools.\\
+\begin{figure}
+\begin{center}
+\includegraphics[scale=0.5]{error}
+\end{center}
+\caption{Error obtained by Ensemble classifier with WOW/UNIWARD, HUGO, and STABYLO and different paylaods.}
+\label{fig:error} 
+\end{figure}
+}