-For whole experiments, the whole set of 10,000 images
+For all the experiments, the whole set of 10,000 images
of the BOSS contest~\cite{Boss10} database is taken.
In this set, each cover is a $512\times 512$
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 on benchmarking.
+the methodology than on benchmarks.
We use the matrices $\hat{H}$
generated by the integers given
-in table~\ref{table:matrices:H}
+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 the message and the size of the
cover vector
is 1/4, each number in $\{81, 95, 107, 121\}$ is translated into a binary number
-and each one consitutes thus a column of $\hat{H}$.
+and each one constitutes thus a column of $\hat{H}$.
\begin{table}
$$
The quality variance between HUGO and STABYLO for these parameters
is given in bold font. It is always close to 1\% which confirms
the objective presented in the motivations:
-providing an efficient steganography approach with a lightweight manner.
+providing an efficient steganography approach in a lightweight manner.
Let us now compare the STABYLO approach with other edge based steganography
However due to its
huge number of integration features, it is not lightweight, which justifies
in the authors' opinion the consideration of the proposed method.
-
