diff --git a/code/bmp.py b/code/bmp.py
index e989a9c..136aad8 100644
--- a/code/bmp.py
+++ b/code/bmp.py
@@ -6,472 +6,28 @@
 # classes
 from BMPFile import *
 from Noise import *
+from tests import *
+
 import random
 import sys
 import time
 
-class Timer:
-	def __init__(self):
-		self.timer = time.time();
-
-	def reset(self):
-		self.timer = time.time();
-
-	def get(self):
-		return float(int(100*(time.time()-self.timer)))/100
-
-def testFileIntegrity():
-
-	t = Timer();
-	total = Timer(); total.reset();
-	
-
-	# lecture du fichier
-	print "Reading Image         -",; t.reset();
-	with open( sys.argv[1] ) as file:
-		binFile = file.read()
-	print "Done in %s s" % (t.get())
-
-
-	img = BMPFile(); # Instanciation du BMPFile
-
-
-	# Parsing
-	print "Parsing file          -",; t.reset();
-	img.parse( binFile );
-	print "Done in %s s" % (t.get())
-
-	img.header.info();
-
-
-
-
-
-	# Unparsing
-	print "Unparsing file        -",; t.reset();
-	img.unparse();
-	print "Done in %s s" % (t.get())
-
-	# Writing
-	print "Writing file          -",; t.reset();
-	img.write( sys.argv[2] )
-	print "Done in %s s" % (t.get())
-
-	# lecture du fichier
-	print "Reading Image         -",; t.reset();
-	with open( sys.argv[2] ) as file:
-		binFile = file.read()
-	print "Done in %s s" % (t.get())
-
-	# Parsing
-	print "Parsing file          -",; t.reset();
-	img.parse( binFile );
-	print "Done in %s s" % (t.get())
-
-	img.header.info();
-
-
-
-
-
-def testSaltAndPepper():
-
-	t = Timer();
-	total = Timer(); total.reset();
-	
-
-	# lecture du fichier
-	print "Reading Image         -",; t.reset();
-	with open( sys.argv[1] ) as file:
-		binFile = file.read()
-	print "Done in %s s" % (t.get())
-
-
-	img = BMPFile(); # Instanciation du BMPFile
-	noise = Noise(); # Instanciation du NoiseObject
-
-
-	# Parsing
-	print "Parsing file          -",; t.reset();
-	img.parse( binFile );
-	print "Done in %s s" % (t.get())
-
-
-
-	print "Creating Salt&Pepper  -",; t.reset();
-	noise.SaltAndPepper_set(img.content.map, seuil=10)
-	print "Done in %s s" % (t.get())
-
-	# Unparsing
-	print "Unparsing file        -",; t.reset();
-	img.unparse()
-	print "Done in %s s" % (t.get())
-
-	# image to stdout
-	print "Writing file          -",; t.reset();
-	img.write( "SaltAndPepper.bmp" )
-	print "Done in %s s" % (t.get())
-
-
-
-
-	print "Removing Salt&Pepper  -",; t.reset();
-	noise.SaltAndPepper_unset(img.content.map)
-	print "Done in %s s" % (t.get())
-
-	# Unparsing
-	print "Unparsing file        -",; t.reset();
-	img.unparse()
-	print "Done in %s s" % (t.get())
-
-	# image to stdout
-	print "Writing file          -",; t.reset();
-	img.write( sys.argv[2] )
-	print "Done in %s s" % (t.get())
-
-	print "\nExecution Time: %s seconds" % total.get()
-
-
-
-
-
-
-
-
-def testAdditiveNoise():
-
-	t = Timer();
-	total = Timer(); total.reset();
-	
-
-	# lecture du fichier
-	print "Reading Image         -",; t.reset();
-	with open( sys.argv[1] ) as file:
-		binFile = file.read()
-	print "Done in %s s" % (t.get())
-
-
-	img = BMPFile(); # Instanciation du BMPFile
-	noise = Noise(); # Instanciation du NoiseObject
-
-
-	# Parsing
-	print "Parsing file          -",; t.reset();
-	img.parse( binFile );
-	print "Done in %s s" % (t.get())
-
-
-
-	print "Creating Additive     -",; t.reset();
-	noise.AdditiveNoise_set(img.content.map, seuil=50)
-	print "Done in %s s" % (t.get())
-
-	# Unparsing
-	print "Unparsing file        -",; t.reset();
-	img.unparse()
-	print "Done in %s s" % (t.get())
-
-	# image to stdout
-	print "Writing file          -",; t.reset();
-	img.write( "AdditiveNoise.bmp" )
-	print "Done in %s s" % (t.get())
-
-
-
-
-	print "Removing Additive     -",; t.reset();
-	noise.AdditiveNoise_unset(img.content.map)
-	print "Done in %s s" % (t.get())
-
-	# Unparsing
-	print "Unparsing file        -",; t.reset();
-	img.unparse()
-	print "Done in %s s" % (t.get())
-
-	# image to stdout
-	print "Writing file          -",; t.reset();
-	img.write( sys.argv[2] )
-	print "Done in %s s" % (t.get())
-
-	print "\nExecution Time: %s seconds" % total.get()
-
-
-
-
-
-def printIntPalette():
-	img = BMPFile();
-
-	# lecture du fichier
-	with open( sys.argv[1] ) as file:
-		binFile = file.read()
-
-	img.parse(binFile);
-
-	print img.intPalette;
-
-
-
-
-def testManualCreation():
-	img = BMPFile()
-	for y in range(0, 100):
-		img.content.map.append( [] )
-		for x in range(0, 100):
-			img.content.map[y].append( RGBPixel(
-				random.randint(0, 255),
-				random.randint(0, 255),
-				random.randint(0, 255),
-				bpp=24
-			) );
-
-	img.unparse();
-
-	print img.binData
-
-
-
-
-
-
-
-if len(sys.argv) < 3:
-	print "Require 2 args : \n* input image\n* output image"
-	exit()
-
-
-
-def printImageQuality():
-	t = Timer();
-	total = Timer(); total.reset();
-	imageFile, modelFile = "", ""
-
-
-	# lecture des fichiers
-	print "Reading files        -",; t.reset();
-	with open( sys.argv[1] ) as f:
-		imageFile = f.read();
-	with open( sys.argv[2] ) as f:
-		modelFile = f.read();
-	print "Done in %s s" % (t.get())
-
-	# parsage
-	print "Parsing images       -",; t.reset();
-	image = BMPFile(); image.parse( imageFile );
-	model = BMPFile(); model.parse( modelFile );
-	print "Done in %s s" % (t.get())
-
-	# condition
-	imagePixelCount = image.header.width * image.header.height
-	modelPixelCount = model.header.width * model.header.height 
-	
-	if imagePixelCount != modelPixelCount:
-		print "*** Taille de matrices différentes"
-		exit()
-
-
-	# comparaison
-	print "Comparaison          -",; t.reset();
-	count, totalCount = [0,0,0], imagePixelCount*256*3
-	for y in range(0, image.header.height):
-		for x in range(0, image.header.width):
-			count[0] += abs( image.content.map[y][x].r - model.content.map[y][x].r )
-			count[1] += abs( image.content.map[y][x].g - model.content.map[y][x].g )
-			count[2] += abs( image.content.map[y][x].b - model.content.map[y][x].b )
-
-	differenceCount = count[0] + count[1] + count[2]
-	percentage = 100.0 * (totalCount-differenceCount) / totalCount
-	percentage = int(100*percentage)/100.0
-	print "Done in %s s" % (t.get())
-	print
-	print "Qualité    = %s %s" % (percentage, "%")
-	print "Différence = %s %s" % (100-percentage, "%")
- 
-	print "\nExecution Time: %s seconds" % total.get()
-
-
-
-def imageForImageQuality():
-	t = Timer();
-	total = Timer(); total.reset();
-	imageFile, modelFile = "", ""
-	image, model, newImg = BMPFile(), BMPFile(), BMPFile()
-
-
-	# lecture des fichiers
-	print "Reading files        -",; t.reset();
-	with open( sys.argv[1] ) as f:
-		imageFile = f.read();
-	with open( sys.argv[2] ) as f:
-		modelFile = f.read();
-	print "Done in %s s" % (t.get())
-
-	# parsage
-	print "Parsing images       -",; t.reset();
-	image.parse( imageFile );
-	model.parse( modelFile );
-	print "Done in %s s" % (t.get())
-
-	# condition
-	imagePixelCount = image.header.width * image.header.height
-	modelPixelCount = model.header.width * model.header.height 
-	
-	if imagePixelCount != modelPixelCount:
-		print "*** Taille de images différentes"
-		exit()
-
-
-	# comparaison
-	print "Comparaison          -",; t.reset();
-	count, totalCount = [0,0,0], imagePixelCount*256*3
-	for y in range(0, image.header.height):
-		newImg.content.map.append( [] );
-		for x in range(0, image.header.width):
-			newImg.content.map[y].append( RGBPixel(
-				255 - abs( image.content.map[y][x].r - model.content.map[y][x].r ),
-				255 - abs( image.content.map[y][x].g - model.content.map[y][x].g ),
-				255 - abs( image.content.map[y][x].b - model.content.map[y][x].b )
-			) )
-
-	
-	print "Unparsing            -",; t.reset();
-	newImg.unparse();
-	print "Done in %s s" % (t.get())
-
-	print "Writing File         -",; t.reset();
-	with open("compare.bmp", "w") as f:
-		f.write( newImg.binData );
-	print "Done in %s s" % (t.get())
-
- 
-	print "\nExecution Time: %s seconds" % total.get()
-
-
-
-
-
-
-
-def mergeImages():
-	t = Timer();
-	total = Timer(); total.reset();
-	imageFile, modelFile = "", ""
-	image, model, newImg = BMPFile(), BMPFile(), BMPFile()
-
-
-	# lecture des fichiers
-	print "Reading files        -",; t.reset();
-	with open( sys.argv[1] ) as f:
-		imageFile = f.read();
-	with open( sys.argv[2] ) as f:
-		modelFile = f.read();
-	print "Done in %s s" % (t.get())
-
-	# parsage
-	print "Parsing images       -",; t.reset();
-	image.parse( imageFile );
-	model.parse( modelFile );
-	print "Done in %s s" % (t.get())
-
-	
-	# condition
-	imagePixelCount = image.header.width * image.header.height
-	modelPixelCount = model.header.width * model.header.height 
-
-	if imagePixelCount != modelPixelCount:
-		print "*** Taille de images différentes"
-		exit()
-
-
-	# comparaison
-	print "Merging              -",; t.reset();
-	for y in range(0, image.header.height):
-		newImg.content.map.append( [] );
-		for x in range(0, image.header.width):
-			newImg.content.map[y].append( RGBPixel(
-				( image.content.map[y][x].r + model.content.map[y][x].r ) % 256,
-				( image.content.map[y][x].g + model.content.map[y][x].g ) % 256,
-				( image.content.map[y][x].b + model.content.map[y][x].b ) % 256
-			) )
-
-	print "Done in %s s" % (t.get())
-	
-	print "Unparsing            -",; t.reset();
-	newImg.unparse(newBpp=24);
-	print "Done in %s s" % (t.get())
-
-	print "Writing File         -",; t.reset();
-	with open("merge.bmp", "w") as f:
-		f.write( newImg.binData );
-	print "Done in %s s" % (t.get())
-
- 
-	print "\nExecution Time: %s seconds" % total.get()
 
 
 ############ TESTS ############
-# testManualCreation()
-testSaltAndPepper()
-# testAdditiveNoise()
-# testFileIntegrity()
-# printIntPalette()
-printImageQuality()
-
-# imageForImageQuality()
-# mergeImages()
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-# dure environ 4min 13s
-def calSaltAndPepper():
-
-	t = Timer();
-	total = Timer(); total.reset();
-	
-
-	# lecture du fichier
-	print "Reading Image         -",; t.reset();
-	with open( sys.argv[1] ) as file:
-		binFile = file.read()
-	print "Done in %s s" % (t.get())
-
-
-	img = BMPFile(); # Instanciation du BMPFile
-	noise = Noise(); # Instanciation du NoiseObject
-
-
-	for seuil in range(0,100,10):
-		for borne in range(0,30,10):
-
-			img.parse( binFile );
-
-			print "SaltAndPepper (%s) (%s) -" % (seuil, borne),; t.reset();
-			noise.SaltAndPepper_unset(img.content.map, seuil=seuil, borne=borne)
-			img.unparse(newBpp=8)
-			img.write( "SaltAndPepper/%s_%s.bmp" % (seuil, borne) )
-			print "Done in %s s" % (t.get())
-
-
-	print "\nExecution Time: %s seconds" % total.get()
-
 
+# testManualCreation()   # teste la création d'un fichier à partir d'une matrice uniquement
+# testFileIntegrity()    # teste le PARSE/UNPARSE
+# printIntPalette()      # affiche la palette d'une image
 
+# testSaltAndPepper()    # teste le bruitage/débruitage de type "Sel & Poivre"
+# testAdditiveNoise()    # teste le bruitage/débruitage de type "Additif"
 
+printImageQuality()    # compare 2 images et donne le pourcentage de ressemblance/différence
 
+# imageForImageQuality() # crée une image correspondant aux différences de 2 images
+# mergeImages()          # crée une image étant la fusion (addition) de 2 images
 
 ############ CALIBRATE ############
-#calSaltAndPepper()
\ No newline at end of file
+
+# calSaltAndPepper()     # Calibration en créant des fichiers pour les paramètres différents de débruitage dans le dossier /SaltAndPepper (sert à comparer)
\ No newline at end of file
diff --git a/code/tests.py b/code/tests.py
new file mode 100644
index 0000000..3d87118
--- /dev/null
+++ b/code/tests.py
@@ -0,0 +1,579 @@
+# ~*~ encoding: utf-8 ~*~ #
+###########################
+#   TRAITEMENT D'IMAGES   #
+###########################
+
+# classes
+from BMPFile import *
+from Noise import *
+from tests import *
+
+import random
+import sys
+import time
+
+
+# arrêt si moins de 2 arguments
+if len(sys.argv) < 3:
+	print "Require 2 args : \n* input image\n* output image"
+	exit()
+
+
+
+
+
+
+# Chronomètre de traitement
+##############################
+#
+# Permet la calcul de durée des différentes tâches 
+#
+class Timer:
+	# crée et remet à zéro le chrono
+	def __init__(self): 
+		self.timer = time.time();
+
+	# remise à zéro du chrono
+	def reset(self):
+		self.timer = time.time();
+
+	# affiche la valeur du chrono
+	def get(self):
+		return float(int(100*(time.time()-self.timer)))/100
+
+
+
+
+
+
+# teste les fonctions PARSE et UNPARSE 
+##########################################################
+# @sysarg	1			l'image de base
+# @sysarg	2			l'image de sortie
+#
+# @history
+#				Parse l'image de base [affiche les infos du header]
+#				Unparse à partir de la matrice de pixels récupérée dans l'image de sortie
+#				Relis l'image crée pour vérifier que les infos sont identiques [affiche les infos du header]
+#
+def testFileIntegrity():
+
+	t = Timer();
+	total = Timer(); total.reset();
+	
+
+	# lecture du fichier
+	print "Reading Image         -",; t.reset();
+	with open( sys.argv[1] ) as file:
+		binFile = file.read()
+	print "Done in %s s" % (t.get())
+
+
+	img = BMPFile(); # Instanciation du BMPFile
+
+
+	# Parsing
+	print "Parsing file          -",; t.reset();
+	img.parse( binFile );
+	print "Done in %s s" % (t.get())
+
+	img.header.info();
+
+
+
+
+
+	# Unparsing
+	print "Unparsing file        -",; t.reset();
+	img.unparse();
+	print "Done in %s s" % (t.get())
+
+	# Writing
+	print "Writing file          -",; t.reset();
+	img.write( sys.argv[2] )
+	print "Done in %s s" % (t.get())
+
+	# lecture du fichier
+	print "Reading Image         -",; t.reset();
+	with open( sys.argv[2] ) as file:
+		binFile = file.read()
+	print "Done in %s s" % (t.get())
+
+	# Parsing
+	print "Parsing file          -",; t.reset();
+	img.parse( binFile );
+	print "Done in %s s" % (t.get())
+
+	img.header.info();
+
+
+
+
+
+
+# teste les fonction de bruitage et débruitage de type "Poivre et Sel" #
+########################################################################
+# @sysarg		1		le fichier d'origine
+# @stsarg		2		le fichier de sortie (bruité PUIS débruité)
+#
+# @file 		SaltAndPepper.bmp 		le fichier bruité
+#
+# @history
+#			Parse le fichier d'origine
+#			Bruite l'image' et l'enregistre dans "SaltAndPepper.bmp"
+#			Débruite l'image et l'enregistre dans le fichier de sortie
+def testSaltAndPepper():
+
+	t = Timer();
+	total = Timer(); total.reset();
+	
+
+	# lecture du fichier
+	print "Reading Image         -",; t.reset();
+	with open( sys.argv[1] ) as file:
+		binFile = file.read()
+	print "Done in %s s" % (t.get())
+
+
+	img = BMPFile(); # Instanciation du BMPFile
+	noise = Noise(); # Instanciation du NoiseObject
+
+
+	# Parsing
+	print "Parsing file          -",; t.reset();
+	img.parse( binFile );
+	print "Done in %s s" % (t.get())
+
+
+
+	print "Creating Salt&Pepper  -",; t.reset();
+	noise.SaltAndPepper_set(img.content.map, seuil=10)
+	print "Done in %s s" % (t.get())
+
+	# Unparsing
+	print "Unparsing file        -",; t.reset();
+	img.unparse()
+	print "Done in %s s" % (t.get())
+
+	# image to stdout
+	print "Writing file          -",; t.reset();
+	img.write( "SaltAndPepper.bmp" )
+	print "Done in %s s" % (t.get())
+
+
+
+
+	print "Removing Salt&Pepper  -",; t.reset();
+	noise.SaltAndPepper_unset(img.content.map)
+	print "Done in %s s" % (t.get())
+
+	# Unparsing
+	print "Unparsing file        -",; t.reset();
+	img.unparse()
+	print "Done in %s s" % (t.get())
+
+	# image to stdout
+	print "Writing file          -",; t.reset();
+	img.write( sys.argv[2] )
+	print "Done in %s s" % (t.get())
+
+	print "\nExecution Time: %s seconds" % total.get()
+
+
+
+
+
+
+
+# teste les fonction de bruitage et débruitage de type "Additif" #
+########################################################################
+# @sysarg		1		le fichier d'origine
+# @stsarg		2		le fichier de sortie (bruité PUIS débruité)
+#
+# @file 		SaltAndPepper.bmp 		le fichier bruité
+#
+# @history
+#			Parse le fichier d'origine
+#			Bruite l'image' et l'enregistre dans "AdditiveNoise.bmp"
+#			Débruite l'image et l'enregistre dans le fichier de sortie
+def testAdditiveNoise():
+
+	t = Timer();
+	total = Timer(); total.reset();
+	
+
+	# lecture du fichier
+	print "Reading Image         -",; t.reset();
+	with open( sys.argv[1] ) as file:
+		binFile = file.read()
+	print "Done in %s s" % (t.get())
+
+
+	img = BMPFile(); # Instanciation du BMPFile
+	noise = Noise(); # Instanciation du NoiseObject
+
+
+	# Parsing
+	print "Parsing file          -",; t.reset();
+	img.parse( binFile );
+	print "Done in %s s" % (t.get())
+
+
+
+	print "Creating Additive     -",; t.reset();
+	noise.AdditiveNoise_set(img.content.map, seuil=50)
+	print "Done in %s s" % (t.get())
+
+	# Unparsing
+	print "Unparsing file        -",; t.reset();
+	img.unparse()
+	print "Done in %s s" % (t.get())
+
+	# image to stdout
+	print "Writing file          -",; t.reset();
+	img.write( "AdditiveNoise.bmp" )
+	print "Done in %s s" % (t.get())
+
+
+
+
+	print "Removing Additive     -",; t.reset();
+	noise.AdditiveNoise_unset(img.content.map)
+	print "Done in %s s" % (t.get())
+
+	# Unparsing
+	print "Unparsing file        -",; t.reset();
+	img.unparse()
+	print "Done in %s s" % (t.get())
+
+	# image to stdout
+	print "Writing file          -",; t.reset();
+	img.write( sys.argv[2] )
+	print "Done in %s s" % (t.get())
+
+	print "\nExecution Time: %s seconds" % total.get()
+
+
+
+
+
+
+
+
+
+
+
+# teste la création d'image manuelle (UNPARSE) à partir d'une matrice uniquement #
+##################################################################################
+# @sysarg		1		le fichier de sortie
+# @stsarg		2		/
+#
+# @history
+#			Unparse une matrice de pixels aléatoire de taille 100x100
+#			L'enregistre dans le fichier de sortie
+def testManualCreation():
+	img = BMPFile()
+	for y in range(0, 100):
+		img.content.map.append( [] )
+		for x in range(0, 100):
+			img.content.map[y].append( RGBPixel(
+				random.randint(0, 255),
+				random.randint(0, 255),
+				random.randint(0, 255),
+				bpp=24
+			) );
+
+	img.unparse();
+
+	img.write( sys.argv[1] )
+	# print img.binData
+
+
+
+
+# Affiche la palette afin de savoir si elle est connue ou nouvelle #
+####################################################################
+# @sysarg		1		le fichier d'entrée
+# @stsarg		2		/
+#
+# @history
+#			Affiche la palette au format <int>[] 
+def printIntPalette():
+	img = BMPFile();
+
+	# lecture du fichier
+	with open( sys.argv[1] ) as file:
+		binFile = file.read()
+
+	img.parse(binFile);
+
+	print img.intPalette;
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+# Affiche un pourcentage de différence entre 2 images #
+#######################################################
+# @sysarg		1		le fichier A
+# @stsarg		2		le fichier B
+#
+# @history
+#			Parse A et B
+#			Compare A et B
+#			Affiche le pourcentage de ressemblance/différence
+def printImageQuality():
+	t = Timer();
+	total = Timer(); total.reset();
+	imageFile, modelFile = "", ""
+
+
+	# lecture des fichiers
+	print "Reading files        -",; t.reset();
+	with open( sys.argv[1] ) as f:
+		imageFile = f.read();
+	with open( sys.argv[2] ) as f:
+		modelFile = f.read();
+	print "Done in %s s" % (t.get())
+
+	# parsage
+	print "Parsing images       -",; t.reset();
+	image = BMPFile(); image.parse( imageFile );
+	model = BMPFile(); model.parse( modelFile );
+	print "Done in %s s" % (t.get())
+
+	# condition
+	imagePixelCount = image.header.width * image.header.height
+	modelPixelCount = model.header.width * model.header.height 
+	
+	if imagePixelCount != modelPixelCount:
+		print "*** Taille de matrices différentes"
+		exit()
+
+
+	# comparaison
+	print "Comparaison          -",; t.reset();
+	count, totalCount = [0,0,0], imagePixelCount*256*3
+	for y in range(0, image.header.height):
+		for x in range(0, image.header.width):
+			count[0] += abs( image.content.map[y][x].r - model.content.map[y][x].r )
+			count[1] += abs( image.content.map[y][x].g - model.content.map[y][x].g )
+			count[2] += abs( image.content.map[y][x].b - model.content.map[y][x].b )
+
+	differenceCount = count[0] + count[1] + count[2]
+	percentage = 100.0 * (totalCount-differenceCount) / totalCount
+	percentage = int(100*percentage)/100.0
+	print "Done in %s s" % (t.get())
+	print
+	print "Qualité    = %s %s" % (percentage, "%")
+	print "Différence = %s %s" % (100-percentage, "%")
+ 
+	print "\nExecution Time: %s seconds" % total.get()
+
+
+
+
+# Créé une image contenant la différence entre 2 images existantes #
+####################################################################
+# @sysarg		1		le fichier A
+# @stsarg		2		le fichier B
+#
+# @file 		compare.bmp 		le fichier bruité
+#
+# @history
+#			Parse A et B
+#			Créer une matrice de pixels
+#			Unparse cette matrice et l'enregistre dans le fichier "compare.bmp"
+def imageForImageQuality():
+	t = Timer();
+	total = Timer(); total.reset();
+	imageFile, modelFile = "", ""
+	image, model, newImg = BMPFile(), BMPFile(), BMPFile()
+
+
+	# lecture des fichiers
+	print "Reading files        -",; t.reset();
+	with open( sys.argv[1] ) as f:
+		imageFile = f.read();
+	with open( sys.argv[2] ) as f:
+		modelFile = f.read();
+	print "Done in %s s" % (t.get())
+
+	# parsage
+	print "Parsing images       -",; t.reset();
+	image.parse( imageFile );
+	model.parse( modelFile );
+	print "Done in %s s" % (t.get())
+
+	# condition
+	imagePixelCount = image.header.width * image.header.height
+	modelPixelCount = model.header.width * model.header.height 
+	
+	if imagePixelCount != modelPixelCount:
+		print "*** Taille de images différentes"
+		exit()
+
+
+	# comparaison
+	print "Comparaison          -",; t.reset();
+	count, totalCount = [0,0,0], imagePixelCount*256*3
+	for y in range(0, image.header.height):
+		newImg.content.map.append( [] );
+		for x in range(0, image.header.width):
+			newImg.content.map[y].append( RGBPixel(
+				255 - abs( image.content.map[y][x].r - model.content.map[y][x].r ),
+				255 - abs( image.content.map[y][x].g - model.content.map[y][x].g ),
+				255 - abs( image.content.map[y][x].b - model.content.map[y][x].b )
+			) )
+
+	
+	print "Unparsing            -",; t.reset();
+	newImg.unparse();
+	print "Done in %s s" % (t.get())
+
+	print "Writing File         -",; t.reset();
+	with open("compare.bmp", "w") as f:
+		f.write( newImg.binData );
+	print "Done in %s s" % (t.get())
+
+ 
+	print "\nExecution Time: %s seconds" % total.get()
+
+
+
+
+
+
+# Fusionne 2 images (addition uniquement) #
+###########################################
+# @sysarg		1		le fichier A
+# @stsarg		2		le fichier B
+#
+# @file 		merge.bmp 		le fichier bruité
+#
+# @history
+#			Parse les fichiers A et B
+#			Créer la matrice de pixels à partir de l'addition de A et B
+#			Unparse le tout et l'enregistre dans merge.bmp
+def mergeImages():
+	t = Timer();
+	total = Timer(); total.reset();
+	imageFile, modelFile = "", ""
+	image, model, newImg = BMPFile(), BMPFile(), BMPFile()
+
+
+	# lecture des fichiers
+	print "Reading files        -",; t.reset();
+	with open( sys.argv[1] ) as f:
+		imageFile = f.read();
+	with open( sys.argv[2] ) as f:
+		modelFile = f.read();
+	print "Done in %s s" % (t.get())
+
+	# parsage
+	print "Parsing images       -",; t.reset();
+	image.parse( imageFile );
+	model.parse( modelFile );
+	print "Done in %s s" % (t.get())
+
+	
+	# condition
+	imagePixelCount = image.header.width * image.header.height
+	modelPixelCount = model.header.width * model.header.height 
+
+	if imagePixelCount != modelPixelCount:
+		print "*** Taille de images différentes"
+		exit()
+
+
+	# comparaison
+	print "Merging              -",; t.reset();
+	for y in range(0, image.header.height):
+		newImg.content.map.append( [] );
+		for x in range(0, image.header.width):
+			newImg.content.map[y].append( RGBPixel(
+				( image.content.map[y][x].r + model.content.map[y][x].r ) % 256,
+				( image.content.map[y][x].g + model.content.map[y][x].g ) % 256,
+				( image.content.map[y][x].b + model.content.map[y][x].b ) % 256
+			) )
+
+	print "Done in %s s" % (t.get())
+	
+	print "Unparsing            -",; t.reset();
+	newImg.unparse(newBpp=24);
+	print "Done in %s s" % (t.get())
+
+	print "Writing File         -",; t.reset();
+	with open("merge.bmp", "w") as f:
+		f.write( newImg.binData );
+	print "Done in %s s" % (t.get())
+
+ 
+	print "\nExecution Time: %s seconds" % total.get()
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+# dure environ 4min 13s
+def calSaltAndPepper():
+
+	t = Timer();
+	total = Timer(); total.reset();
+	
+
+	# lecture du fichier
+	print "Reading Image         -",; t.reset();
+	with open( sys.argv[1] ) as file:
+		binFile = file.read()
+	print "Done in %s s" % (t.get())
+
+
+	img = BMPFile(); # Instanciation du BMPFile
+	noise = Noise(); # Instanciation du NoiseObject
+
+
+	for seuil in range(0,100,10):
+		for borne in range(0,30,10):
+
+			img.parse( binFile );
+
+			print "SaltAndPepper (%s) (%s) -" % (seuil, borne),; t.reset();
+			noise.SaltAndPepper_unset(img.content.map, seuil=seuil, borne=borne)
+			img.unparse(newBpp=8)
+			img.write( "SaltAndPepper/%s_%s.bmp" % (seuil, borne) )
+			print "Done in %s s" % (t.get())
+
+
+	print "\nExecution Time: %s seconds" % total.get()
+
+
+
+
+
+