图片隐写--XOR&OR&and

标签：bmp   convert   com   from   UNC   ==   func   min   运算   

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)

图片隐写--XOR&OR&and

标签：bmp   convert   com   from   UNC   ==   func   min   运算   

原文地址：https://www.cnblogs.com/hackxf/p/9521116.html