ajout de emb et de dec

diff --git a/biblioand.bib b/biblioand.bib
index b1d4b0b03498e205a7ab492623eb3393057c1842..d37cf9d89c3d7a8e9c00bc766bffd19bc05828f3 100644 (file)
--- a/biblioand.bib
+++ b/biblioand.bib
@@ -591,9 +591,8 @@ language={English}
 @inproceedings{conf/wifs/HolubF12,
   added-at = {2013-01-23T00:00:00.000+0100},
   author = {Holub, Vojtech and Fridrich, Jessica J.},
 @inproceedings{conf/wifs/HolubF12,
   added-at = {2013-01-23T00:00:00.000+0100},
   author = {Holub, Vojtech and Fridrich, Jessica J.},

-  biburl = {http://www.bibsonomy.org/bibtex/2a685b4b8b521ac99734fb52c064ca994/dblp},
-  booktitle = {WIFS},
-  crossref = {conf/wifs/2012},
+  booktitle     = {2012 {IEEE} International Workshop on Information Forensics and Security, Tenerife, Spain},
+  month = dec, 

   ee = {http://dx.doi.org/10.1109/WIFS.2012.6412655},
   interhash = {cbef658a6868216eef585dd759ae0668},
   intrahash = {a685b4b8b521ac99734fb52c064ca994},
   ee = {http://dx.doi.org/10.1109/WIFS.2012.6412655},
   interhash = {cbef658a6868216eef585dd759ae0668},
   intrahash = {a685b4b8b521ac99734fb52c064ca994},


@@ -610,6 +609,7 @@ language={English}
 
 
 
 
 
 

+

 @article{FillerJF11,
   author    = {Tom{\'a}s Filler and
                Jan Judas and
 @article{FillerJF11,
   author    = {Tom{\'a}s Filler and
                Jan Judas and

diff --git a/complexity.tex b/complexity.tex
index 7dce9c6fd26e6129d1d68b613849a5e6beef2278..db1609f28ebe17780a282b2087c9cd58da3f037a 100644 (file)
--- a/complexity.tex
+++ b/complexity.tex
@@ -23,8 +23,8 @@ which is at least in $\theta(343)$, and an overall distance between these
 metrics, which is in $\theta(686)$. Computing the distance is thus in 
 $\theta(2\times 343^2)$ and this modification
 is thus in $\theta(2\times 343^2 \times n^2)$.
 metrics, which is in $\theta(686)$. Computing the distance is thus in 
 $\theta(2\times 343^2)$ and this modification
 is thus in $\theta(2\times 343^2 \times n^2)$.

-Ranking these results may be achieved with an insertion sort, which is in 
-$2 \times n^2 \ln(n)$.
+Ranking these results may be achieved with a quick sort, which is in 
+$\theta(2 \times n^2 \ln(n))$ for data of size $n^2$.

 The overall complexity of the pixel selection is finally
 $\theta(n^2 +2 \times 343^2 + 2\times 343^2 \times n^2 + 2 \times n^2 \ln(n))$, \textit{i.e},
 $\theta(2 \times n^2(343^2 + \ln(n)))$.
 The overall complexity of the pixel selection is finally
 $\theta(n^2 +2 \times 343^2 + 2\times 343^2 \times n^2 + 2 \times n^2 \ln(n))$, \textit{i.e},
 $\theta(2 \times n^2(343^2 + \ln(n)))$.

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+%%EOF

diff --git a/experiments.tex b/experiments.tex
index 498e47285d12a7f5ae95b3f3c2304f0d86375d56..eff125e652dfbc9a4edcb5c26e0ea75405511a93 100644 (file)
--- a/experiments.tex
+++ b/experiments.tex
@@ -205,10 +205,10 @@ as far as we know.
 However by combining Adaptive and STC strategies
 our approach obtains similar results than the ones of these schemes.
 
 However by combining Adaptive and STC strategies
 our approach obtains similar results than the ones of these schemes.
 

-Compared to EAILSBMR, we obtain better results when the strategy is 
+Compared to EAILSBMR, we obtain similar
+results when the strategy is 

 Adaptive. 
 Adaptive. 

-However due to its 
-huge number of integration features, it is not lightweight.
+However due to its huge number of integration features, it is not lightweight.

 
 All these numerical experiments confirm 
 the objective presented in the motivations:
 
 All these numerical experiments confirm 
 the objective presented in the motivations:

diff --git a/intro.tex b/intro.tex
index 5fa4b70725b3bd8a1c4d3998ec469c8ba5f32cb1..db41326bcef74c290c69d1669ac05bb34642b1f3 100644 (file)
--- a/intro.tex
+++ b/intro.tex
@@ -124,7 +124,7 @@ The payload is further said to
 long message in the cover signal. 
 Practically speaking, our approach is efficient enough for
 payloads close to 0.06 bit per pixel which allows to embed 
 long message in the cover signal. 
 Practically speaking, our approach is efficient enough for
 payloads close to 0.06 bit per pixel which allows to embed 

-messages of length larger than 16000 bits in an 
+messages of length larger than 15728 bits in an 

 image of size $512\times 512$ pixels. 
 
 % Message extraction is achieved by computing the same
 image of size $512\times 512$ pixels. 
 
 % Message extraction is achieved by computing the same

diff --git a/main.tex b/main.tex
index e82040e955deb0b1364bd47b6607b3847aef4539..2996baf8f83fa9d839a379e29c101ed3cdc4edf5 100755 (executable)
--- a/main.tex
+++ b/main.tex
@@ -164,7 +164,8 @@ replacement, in terms of security, will be discussed.
 Furthermore, we plan to investigate information hiding on other models, such as high frequency for JPEG encoding.
 
 
 Furthermore, we plan to investigate information hiding on other models, such as high frequency for JPEG encoding.
 
 

-\bibliographystyle{spbasic}
+%\bibliographystyle{spbasic}
+\bibliographystyle{spmpsci}

 \bibliography{abbrev,biblioand}
 
 
 \bibliography{abbrev,biblioand}
 
 

diff --git a/schema2.dot b/schema2.dot
index c5c7819df84bc3c8fccabedfc41281f5ed0c5757..b2bc96eaa26d48707388d94578a70a19174dfcd5 100644 (file)
--- a/schema2.dot
+++ b/schema2.dot
@@ -18,7 +18,7 @@ digraph start_up {
 
        
        PIb -> ED
 
        
        PIb -> ED

-
+       PIb -> STC

        
        start -> key 
 
        
        start -> key 
 

diff --git a/stc.tex b/stc.tex
index 0d1541a44916f9034d0691a89d59630bb5517153..8da157375145ff05382bc63829c4ab9e21300acc 100644 (file)
--- a/stc.tex
+++ b/stc.tex
@@ -23,9 +23,9 @@ vector and a 7 bits column vector, and where
 $\rho_X(i,x,y)$ is equal to 1 for any $i$, $x$, $y$
 (\textit{i.e.}, $\rho_X(i,x,y) = 0$ if $x = y$ and $1$ otherwise).  
 
 $\rho_X(i,x,y)$ is equal to 1 for any $i$, $x$, $y$
 (\textit{i.e.}, $\rho_X(i,x,y) = 0$ if $x = y$ and $1$ otherwise).  
 

-Let  $H$ be the binary Hamming matrix  
+Let  $\dot{H}$ be the binary Hamming matrix  

 $$
 $$

-H = \left(
+\dot{H} = \left(

 \begin{array}{lllllll}
  0 & 0 & 0 & 1 & 1 & 1 & 1 \\
  0 & 1 & 1 & 0 & 0 & 1 & 1 \\
 \begin{array}{lllllll}
  0 & 0 & 0 & 1 & 1 & 1 & 1 \\
  0 & 1 & 1 & 0 & 0 & 1 & 1 \\


@@ -33,11 +33,11 @@ H = \left(
 \end{array}
 \right).
 $$
 \end{array}
 \right).
 $$

-The objective is to modify $x$ to get $y$ s.t. $m = Hy$.
+The objective is to modify $x$ to get $y$ s.t. $m = \dot{H}y$.

 In this algebra, the sum and the product respectively correspond to
 the exclusive \emph{or} and to the \emph{and} Boolean operators.
 In this algebra, the sum and the product respectively correspond to
 the exclusive \emph{or} and to the \emph{and} Boolean operators.

-If $Hx$ is already equal to $m$, nothing has to be changed and $x$ can be sent.
-Otherwise we consider the difference $\delta = d(m,Hx)$, which is expressed 
+If $\dot{H}x$ is already equal to $m$, nothing has to be changed and $x$ can be sent.
+Otherwise we consider the difference $\delta = d(m,\dot{H}x)$, which is expressed 

 as a vector : 
 $$
 \delta = \left( \begin{array}{l}
 as a vector : 
 $$
 \delta = \left( \begin{array}{l}


@@ -53,7 +53,7 @@ We denote by $\overline{x}^j$ the vector  obtained by
 switching the $j-$th component of $x$, 
 that is, $\overline{x}^j = (x_1 , \ldots, \overline{x_j},\ldots, x_n )$.
 It is not hard to see that if $y$ is $\overline{x}^j$, then 
 switching the $j-$th component of $x$, 
 that is, $\overline{x}^j = (x_1 , \ldots, \overline{x_j},\ldots, x_n )$.
 It is not hard to see that if $y$ is $\overline{x}^j$, then 

-$m = Hy$.
+$m = \dot{H}y$.

 It is then possible to embed 3 bits in 7 LSBs of pixels by modifying
 at most 1 bit.
 In the general case, communicating a message of $p$ bits in a cover of 
 It is then possible to embed 3 bits in 7 LSBs of pixels by modifying
 at most 1 bit.
 In the general case, communicating a message of $p$ bits in a cover of