From f919ede766f1129e330f7d12d04ed3e8ca8111b0 Mon Sep 17 00:00:00 2001 From: couchot Date: Tue, 15 Jan 2013 14:26:38 +0100 Subject: [PATCH] coquilles --- experiments.tex | 21 ++++++++++++--------- 1 file changed, 12 insertions(+), 9 deletions(-) diff --git a/experiments.tex b/experiments.tex index 60cce0b..a2126d3 100644 --- a/experiments.tex +++ b/experiments.tex @@ -16,7 +16,7 @@ Canny algorithm with high threshold. The message length is thus defined to be the half of this set cardinality. In this strategy, two methods are thus applied to extract bits that are modified. The first one is a direct application of the STC algorithm. -This method is further refered as \emph{adaptive+STC}. +This method is further referred as \emph{adaptive+STC}. The second one randomly choose the subset of pixels to modify by applying the BBS PRNG again. This method is denoted \emph{adaptive+sample}. Notice that the rate between @@ -57,8 +57,11 @@ The other last ones have been designed to tackle this problem. \begin{center} \begin{tabular}{|c|c|c||c|c|} \hline - & \multicolumn{2}{|c||}{Adaptive} & fixed & HUGO \\ -Embedding rate & + STC & + sample & 10\% & 10\%\\ +Schemes & \multicolumn{3}{|c|}{STABYLO} & HUGO\\ +\hline +Embedding & \multicolumn{2}{|c||}{Adaptive} & Fixed & Fixed \\ +\hline +Rate & + STC & + sample & 10\% & 10\%\\ \hline PSNR & 66.55 & 63.48 & 61.86 & 64.65 \\ \hline @@ -70,21 +73,21 @@ wPSNR & 86.43& 80.59 & 77.47& 83.03\\ \hline \end{tabular} \end{center} -\caption{Quality measures of our steganography approach\label{table:quality}} +\caption{Quality Measures of Steganography Approaches\label{table:quality}} \end{table} Let us give an interpretation of these experiments. First of all, the adaptive strategy produces images with lower distortion than the one of images resulting from the 10\% fixed strategy. Numerical results are indeed always greater for the former strategy than -for the latter, except for the BIQI metrics where differences are not relevent. +for the latter, except for the BIQI metrics where differences are not relevant. These results are not surprising since the adaptive strategy aims at embedding messages whose length is decided according to a higher threshold into the edge detection. Let us focus on the quality of HUGO images: with a given fixed embedding rate (10\%) HUGO always produces images whose quality is higher than the STABYLO's one. -However, our approach nevertheless provides beter results with the strategy +However, our approach nevertheless provides better results with the strategy adaptive+STC in a lightweight manner, as motivated in the introduction. @@ -130,9 +133,9 @@ can be a favourably executed thanks to an Ensemble Classifiers. \hline Schemes & \multicolumn{3}{|c|}{STABYLO} & HUGO\\ \hline -Embedding rate & \multicolumn{2}{|c|}{Adaptive} & 10 \% & 10 \%\\ - & + STC & + sample & & \\ - +Embedding & \multicolumn{2}{|c|}{Adaptive} & Fixed & Fixed \\ +\hline +Rate & + STC & + sample & 10\% & 10\%\\ \hline AUMP & 0.39 & & 0.22 & 0.50 \\ \hline -- 2.39.5