<html><head><meta name="color-scheme" content="light dark"></head><body><pre style="word-wrap: break-word; white-space: pre-wrap;">X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/canny.git/blobdiff_plain/dd86a49a6884ba85ab2469757bbec464943ad7e5..222b1caaf60e918817a332b5ce7774cf792fef59:/experiments.tex?ds=sidebyside

diff --git a/experiments.tex b/experiments.tex
index 9af03c6..7afd27c 100644
--- a/experiments.tex
+++ b/experiments.tex
@@ -5,6 +5,44 @@ grayscale digital image in a RAW format.
 We restrict experiments to 
 this set of cover images since this paper is more focused on 
 the methodology than benchmarking.    
+
+We use the matrices $\hat{H}$ 
+generated by the integers given
+in table~\ref{table:matrices:H}
+as introduced in~\cite{FillerJF11}, since these ones have experimentally 
+be proven to have the best modification efficiency.
+For instance if the rate between the size of message and the size of the host is 
+1/4, each number in $\{81, 95, 107, 121\}$ is translated into a binary number 
+and each one consitutes thus an column of $\hat{H}$. 
+
+\begin{table}
+$$
+\begin{array}{|l|l|}
+\hline
+\textrm{Rate} &amp; \textrm{Matrix generators} \\
+\hline
+{1}/{2} &amp; \{71,109\}\\
+\hline
+{1}/{3} &amp; \{95, 101, 121\}\\
+\hline
+{1}/{4} &amp; \{81, 95, 107, 121\}\\
+\hline
+{1}/{5} &amp; \{75, 95, 97, 105, 117\}\\
+\hline
+{1}/{6} &amp; \{73, 83, 95, 103, 109, 123\}\\
+\hline
+{1}/{7} &amp; \{69, 77, 93, 107, 111, 115, 121\}\\
+\hline
+{1}/{8} &amp; \{69, 79, 81, 89, 93, 99, 107, 119\}\\
+\hline
+{1}/{9} &amp; \{69, 79, 81, 89, 93, 99, 107, 119, 125\}\\
+\hline
+\end{array}
+$$
+\caption{Matrix Generator for $\hat{H}$ in STC}\label{table:matrices:H}
+\end{table}
+
+
 Our approach is always compared to Hugo~\cite{DBLP:conf/ih/PevnyFB10}
 and to EAISLSBMR~\cite{Luo:2010:EAI:1824719.1824720}.
 The former is the least detectable information hiding tool in spatial domain 
</pre></body></html>