# HG changeset patch
# User Xavier Glorot <glorotxa@iro.umontreal.ca>
# Date 1272926307 14400
# Node ID d5b2b6397a5a672ffd0bd6c80ee53fe315174258
# Parent  bfa349f567e8dcbaa6efb911401eef7128e07d15
added permut pixel

diff -r bfa349f567e8 -r d5b2b6397a5a data_generation/transformations/BruitGauss.py
--- a/data_generation/transformations/BruitGauss.py	Mon May 03 01:07:21 2010 -0400
+++ b/data_generation/transformations/BruitGauss.py	Mon May 03 18:38:27 2010 -0400
@@ -51,7 +51,7 @@
             self.nb_chng=3+int(numpy.random.rand()*self.nb_chngmax*complexity)
             self.sigma_gauss=2.0 + numpy.random.rand()*self.sigmamax*complexity
             self.grandeur=12+int(numpy.random.rand()*self.grandeurmax*complexity)
-                        #creation du noyau gaussien
+            #creation du noyau gaussien
             self.gauss=numpy.zeros((self.grandeur,self.grandeur))
             x0 = y0 = self.grandeur/2.0
             for i in xrange(self.grandeur):
diff -r bfa349f567e8 -r d5b2b6397a5a data_generation/transformations/gimp_script.py
--- a/data_generation/transformations/gimp_script.py	Mon May 03 01:07:21 2010 -0400
+++ b/data_generation/transformations/gimp_script.py	Mon May 03 18:38:27 2010 -0400
@@ -52,7 +52,7 @@
             setpix(image)
             if self.mblur_length and self.blur_bool:
                 pdb.plug_in_mblur(img, layer1, 0, self.mblur_length, self.mblur_angle, 0, 0)
-            if self.pinch:        
+            if self.pinch:
                 pdb.plug_in_whirl_pinch(img, layer1, 0.0, self.pinch, 1.0)
             image = getpix()
 
diff -r bfa349f567e8 -r d5b2b6397a5a writeup/techreport.tex
--- a/writeup/techreport.tex	Mon May 03 01:07:21 2010 -0400
+++ b/writeup/techreport.tex	Mon May 03 18:38:27 2010 -0400
@@ -162,6 +162,15 @@
 This filter has a probability of not being applied, at all, of 60\%.
 
 
+\subsection{Pixel permutation}
+
+This filter permuts neighbouring pixels. It selects first $\frac{complexity}{3}$ pixels randomly in the image. Each of them are then sequentially
+exchanged to one other pixel in its $V4$ neighbourhood. Number of exchanges to the left, right, top, bottom are equal or does not differ from more than 1
+if the number of selected pixel is not a multiple of 4. 
+
+It has has a probability of not being applied, at all, of 80\%.
+
+
 \subsection{Distorsion gauss}
 
 This filter simply adds, to each pixel of the image independently, a gaussian noise of mean $0$ and standard deviation $\frac{complexity}{10}$.