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   | from PIL import Image from decimal import * import numpy as np import random getcontext().prec = 20
  def f1(x):     # It is based on logistic map in chaotic systems     # The parameter r takes the largest legal value     mu = 4     x = mu * x * (1 - x)     return x
  def f2(x):     # same as f1     mu = 4     x = mu * x * (1 - x)     return x      def f3(x):     # same as f1     mu = 4     x = mu * x * (1 - x)     return x
  def encryptImage(path):     im = Image.open(path)     size = im.size     pic  = np.array(im)     im.close()     r1 = Decimal('0.478706063089473894123')     r2 = Decimal('0.613494245341234672318')     r3 = Decimal('0.946365754637812381837')     w,h = size     for i in range(200):         r1 = f1(r1)         r2 = f2(r2)         r3 = f3(r3)     const = 10**14
      replace_list = list()     for x in range(w):         for y in range(h):             x1 = int(round(const*r1))%w             y1 = int(round(const*r2))%h             r1 = f1(r1)             r2 = f2(r2)             tmp = pic[y,x]             pic[y,x] = pic[y1,x1]             pic[y1,x1] = tmp             replace_list.append([(y,x),(y1,x1)])     f = open('test.txt','a')     f.write(str(replace_list))
      p0 = random.randint(100,104)     c0 = random.randint(200,204)
      config = (p0,c0)
      for x in range(w):         for y in range(h):             k = int(round(const*r3))%256             k = bin(k)[2:].ljust(8,'0')             k = int(k[p0%8:]+k[:p0%8],2)             r3 = f3(r3)             p0 = pic[y,x]             c0 = k^((k+p0)%256)^c0             pic[y,x] = c0     return pic,size,config
 
  def decryptImage(path,config):     im = Image.open(path)     size = im.size     pic = np.array(im)     im.close()     r1 = Decimal('0.478706063089473894123')     r2 = Decimal('0.613494245341234672318')     r3 = Decimal('0.946365754637812381837')     w, h = size     for i in range(200):         r1 = f1(r1)         r2 = f2(r2)         r3 = f3(r3)
      const = 10 ** 14     p0 = config[0]     c0 = config[1]     for x in range(w):         for y in range(h):             k = int(round(const*r3))%256             k = bin(k)[2:].ljust(8,'0')             k = int(k[p0%8:]+k[:p0%8],2)             r3 = f3(r3)             c1 = pic[y,x]             c0 = (((k^c1^c0)%256)-k)%256             pic[y,x] = c0             p0 = c0             c0 = c1     print(pic)
      f = open('test.txt','r')     tihuan = f.read()     tihuan_list = eval(tihuan)     new_pic = pic
      for i in tihuan_list[::-1]:         t1 = i[0]         t2 = i[1]         tmp = new_pic[t1[0],t1[1]]         new_pic[t1[0], t1[1]] = new_pic[t2[0],t2[1]]         new_pic[t2[0], t2[1]] = tmp
      return new_pic,size,config
 
 
  def outputImage(path,pic,size):     im = Image.new('P', size,'white')     pixels = im.load()     for i in range(im.size[0]):         for j in range(im.size[1]):             pixels[i,j] = (int(pic[j][i]))
      im.save(path)
 
  enc_img = 'flag_enc.bmp'
  pic,size,_ = encryptImage(enc_img)
 
  def decmain():
      config_list = list()     for p0 in range(100,105):         for c0 in range(200,205):             config = (p0,c0)             config_list.append(config)
 
      for config in config_list:         config_index = config_list.index(config)         enc_img = 'flag_enc.bmp'         dec_img = 'flag_' + str(config_index) + '.bmp'         pic, size, config = decryptImage(enc_img,config)         outputImage(dec_img,pic,size)
  decmain()
 
   |