qlq coquilles (mais j'ai plus regardé le fond)

diff --git a/experiments.tex b/experiments.tex
index cd2ed1a23e9decfd8794c7fb511859a5c321a823..e4db41088a6b94033b8e844d0ddb14acba933b2e 100644 (file)
--- a/experiments.tex
+++ b/experiments.tex
@@ -58,7 +58,7 @@ wPSNR & 86.43& 77.47 \\
 
 Let us compare the STABYLO approach with other edge based steganography
 schemes with respect to the image quality.
-Fist off all, wPSNR and PSNR of the Edge Adaptive
+First of all, wPSNR and PSNR of the Edge Adaptive
 scheme detailed in~\cite{Luo:2010:EAI:1824719.1824720} are lower than ours.
 Next both the approaches~\cite{DBLP:journals/eswa/ChenCL10,Chang20101286}
 focus on increasing the payload while the PSNR is acceptable, but do not 

diff --git a/intro.tex b/intro.tex
index f69d92647c6aff809fedd5231dd3fb5fc2225ad7..18ea7ab2e50632db6ab394ac4d5440010f687877 100644 (file)
--- a/intro.tex
+++ b/intro.tex
@@ -1,8 +1,8 @@
 
-This work considers digital images as covers and foundation is
+This work considers digital images as covers and it is based on
 spatial least significant-bit (LSB) replacement.
 In this data hiding scheme a subset of all the LSB of the cover image is modified 
-with a secret bit stream depending on to a key, the cover, and the message to embed.
+with a secret bit stream depending on a key, the cover, and the message to embed.
 This well studied steganographic approach  never decreases (resp. increases)
 pixel with even value (resp. odd value) and may break structural symmetry.
 These structural modification can be detected  by statistical approaches 
@@ -56,7 +56,7 @@ There remains a large place between random selection of LSB and feature based mo
 We argue that modifying edge pixels is an acceptable compromise. 
 Edges form the outline of an object: they are the boundary between overlapping objects or between an object
 and the background. A small modification of pixel value in the stego image should not be harmful to the image quality:
-in cover image, edge pixels already break its continuity  and thus already contains large variation with neighbouring 
+in cover image, edge pixels already break its continuity  and thus already contain large variation with neighbouring 
 pixels. In other words, minor changes in regular area are more dramatic than larger modifications in edge ones. 
 Our proposal is thus to embed message bits into edge shapes while preserving other smooth regions. 
 

diff --git a/stc.tex b/stc.tex
index 7ce100b8be84e7d3623b727a49ae7755b84b6e4f..16fbfb3c09c234966ebed5975e7b8ccc12232742 100644 (file)
--- a/stc.tex
+++ b/stc.tex
@@ -63,7 +63,7 @@ that minimizes $D_X(x,y)$ has exponential complexity with respect to $n$.
 The Syndrome-Trellis Codes  (STC) 
 presented by Filler et al. in~\cite{DBLP:conf/mediaforensics/FillerJF10} 
 is a practical solution to this complexity. Thanks to this contribution,
-the solving algorithm has a linear complexity with resspect to $n$.
+the solving algorithm has a linear complexity with respect to $n$.
 
 First of all, Filler et al. compute the matrix $H$
 by placing a small sub-matrix $\hat{H}$ of size $h × w$ next