图片xor的脚本
和图片进行xor or and 运算的脚本
from PIL import Image
#import pil
def loadImage(filename):
img = Image.open(filename)
width, height = img.size
img = img.convert("RGB")
pixel = img.load()
return width, height, pixel
def combineImage(file1, file2, file3):
w1, h1, p1 = loadImage(file1)
w2, h2, p2 = loadImage(file2)
width = min(w1, w2)
height = min(h1, h2)
img = Image.new("RGB", (width, height))
pix = img.load()
for y in xrange(0, height):
for x in xrange(0, width):
r1, g1, b1 = p1[x, y]
r2, g2, b2 = p2[x, y]
pix[x, y] = r1^r2, g1^g2, b1^b2
img.save(file3)
if __name__ == "__main__":
combineImage("pic1.bmp", "pic2.bmp", "pic_new.bmp")
# -*- coding:utf-8 -*-
from PIL import Image
def xorFun(x, y):
return x^y
def orFun(x, y):
return x|y
def andFun(x, y):
return x&y
def loadImage(filename):
img = Image.open(filename)
width, height = img.size
img = img.convert("RGB")
pixel = img.load()
return width, height, pixel
def combineImage(file1, file2, file3, func):
w1, h1, p1 = loadImage(file1)
w2, h2, p2 = loadImage(file2)
width = min(w1, w2)
height = min(h1, h2)
img = Image.new("RGB", (width, height))
pix = img.load()
for y in xrange(0, height):
for x in xrange(0, width):
r1, g1, b1 = p1[x, y]
r2, g2, b2 = p2[x, y]
pix[x, y] = func(r1,r2), func(g1,g2), func(b1,b2)
img.save(file3)
if __name__ == "__main__":
combineImage("pic1.bmp", "pic2.bmp", "xor.bmp",xorFun)
combineImage("pic1.bmp", "pic2.bmp", "or.bmp",orFun)
combineImage("pic1.bmp", "pic2.bmp", "and.bmp",andFun)