denoising.py/code/Noise.py

336 lines
4.8 KiB
Python

# ~*~ encoding: utf-8 ~*~ #
import random
class Noise:
# ajout de bruit "poivre & sel" avec un seuil (% de l'image bruité)
def SaltAndPepper_set(self, pixelMap, seuil=10):
seuil = float(seuil);
while seuil >= 1:
seuil /= 100.0
nbPixel = int( len(pixelMap) * len(pixelMap[0]) * seuil )
for bruit in range(0, nbPixel ):
x = random.randint(0, len(pixelMap[0]) - 1 )
y = random.randint(0, len(pixelMap) - 1 )
if random.randint(0,1) == 1:
pixelMap[y][x].setRGB(255,255,255);
else:
pixelMap[y][x].setRGB(0,0,0);
# enlève le bruit "poivre et sel"
def SaltAndPepper_unset(self, pixelMap, seuil=5, borne=5):
width = len( pixelMap[0] )
height = len( pixelMap )
while seuil >= 1:
seuil /= 100.0
while borne >= 100:
borne /= 100.0
seuil = int( seuil * 256 );
for y in range(0, len(pixelMap)):
for x in range(0, len(pixelMap[y])):
pMoy = ( pixelMap[y][x].r + pixelMap[y][x].g + pixelMap[y][x].b ) / 3
# traitement si couleur extreme
if pMoy >= 255-borne or pMoy <= borne:
xmin, ymin, xmax, ymap = x, y, x, y;
rMoy, gMoy, bMoy, count = 0.0, 0.0, 0.0, 0 # moyennes des couleurs
rInterval, gInterval, bInterval, rgbInterval = 0, 0, 0, 0 # décalage avec le pixel
if y-1 > -1:
ymin = y-1
if y+1 < height:
ymax = y+1
if x-1 > -1:
xmin = x-1
if x+1 < width:
xmax = x+1
# pixels = [ pixelMap[y][xmin], pixelMap[y][xmax], pixelMap[ymin][x], pixelMap[ymax][x] ];
# for p in pixels:
# if p != pixelMap[y][x]:
# rMoy += p.r;
# gMoy += p.g;
# bMoy += p.b;
# count += 1
for j in pixelMap[ymin:ymax]: # on parcourt les pixels autour
for pix in j[xmin:xmax]:
# calcul de la moyenne autour du pixel
if pix != pixelMap[y][x]:
rMoy += pix.r;
gMoy += pix.g;
bMoy += pix.b;
count += 1
if count > 0:
rMoy = int( rMoy / count )
gMoy = int( gMoy / count )
bMoy = int( bMoy / count )
rInterval = abs( pixelMap[y][x].r - rMoy )
gInterval = abs( pixelMap[y][x].g - gMoy )
bInterval = abs( pixelMap[y][x].b - bMoy )
rgbInterval = ( rInterval + gInterval + bInterval ) / 3
# si la couleur est trop "différente" alors on remplace sa couleur par la moyenne des couleurs alentours
if rgbInterval > seuil:
pixelMap[y][x].setRGB(rMoy, gMoy, bMoy);
def AdditiveNoise_set(self, pixelMap, seuil=10):
seuil = float(seuil);
while seuil >= 1:
seuil /= 100.0
nbPixel = int( len(pixelMap) * len(pixelMap[0]) * seuil )
for bruit in range(0, nbPixel ):
x = random.randint(0, len(pixelMap[0]) - 1 )
y = random.randint(0, len(pixelMap) - 1 )
if random.randint(0,1) == 1:
maxColor = max(pixelMap[y][x].r, pixelMap[y][x].g, pixelMap[y][x].b)
randomAdd = random.randint(0, (255-maxColor) / 10 )
else:
minColor = min(pixelMap[y][x].r, pixelMap[y][x].g, pixelMap[y][x].b)
randomAdd = - random.randint(0, minColor / 10 )
pixelMap[y][x].setRGB(
pixelMap[y][x].r + randomAdd,
pixelMap[y][x].g + randomAdd,
pixelMap[y][x].b + randomAdd
);
def AdditiveNoise_unset(self, pixelMap, seuil=5):
pass
def MultiplicativeNoise_set(self, pixelMap, seuil=10):
seuil = float(seuil);
while seuil >= 1:
seuil /= 100.0
nbPixel = int( len(pixelMap) * len(pixelMap[0]) * seuil )
for bruit in range(0, nbPixel ):
x = random.randint(0, len(pixelMap[0]) - 1 )
y = random.randint(0, len(pixelMap) - 1 )
if random.randint(0,1) == 1:
maxColor = max(pixelMap[y][x].r, pixelMap[y][x].g, pixelMap[y][x].b)
randomAdd = random.randint(0, (255-maxColor) / 10 )
else:
minColor = min(pixelMap[y][x].r, pixelMap[y][x].g, pixelMap[y][x].b)
randomAdd = - random.randint(0, minColor / 10 )
pixelMap[y][x].setRGB(
pixelMap[y][x].r + randomAdd,
pixelMap[y][x].g + randomAdd,
pixelMap[y][x].b + randomAdd
);
def MultiplicativeNoise_unset(self, pixelMap, seuil=5):
pass
def ColorNoise_set(self, pixelMap, seuil=10):
seuil = float(seuil);
while seuil >= 1:
seuil /= 100.0
nbPixel = int( len(pixelMap) * len(pixelMap[0]) * seuil )
for bruit in range(0, nbPixel ):
x = random.randint(0, len(pixelMap[0]) - 1 )
y = random.randint(0, len(pixelMap) - 1 )
pixelMap[y][x].setRGB(
pixelMap[y][x].r + random.randint(0, (255-pixelMap[y][x].r)/4),
pixelMap[y][x].g + random.randint(0, (255-pixelMap[y][x].g)/4),
pixelMap[y][x].b + random.randint(0, (255-pixelMap[y][x].b)/4)
);
def ColorNoise_unset(self, pixelMap, seuil=5):
pass
def Gaussian_set(self, pixelMap, seuil=10):
pass
def Gaussian_unset(self, pixelMap, seuil=5):
pass