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| import cv2 import numpy as np import random import os from argparse import ArgumentParser ALPHA = 5 def build_parser(): parser = ArgumentParser() parser.add_argument('--original', dest='ori', required=True) parser.add_argument('--image', dest='img', required=True) parser.add_argument('--result', dest='res', required=True) parser.add_argument('--alpha', dest='alpha', default=ALPHA) return parser def main(): parser = build_parser() options = parser.parse_args() ori = options.ori img = options.img res = options.res alpha = options.alpha if not os.path.isfile(ori): parser.error("original image %s does not exist." % ori) if not os.path.isfile(img): parser.error("image %s does not exist." % img) decode(ori, img, res, alpha) def decode(ori_path, img_path, res_path, alpha): ori = cv2.imread(ori_path) img = cv2.imread(img_path) ori_f = np.fft.fft2(ori) img_f = np.fft.fft2(img) height, width = ori.shape[0], ori.shape[1] watermark = (ori_f - img_f) / alpha watermark = np.real(watermark) res = np.zeros(watermark.shape) random.seed(height + width) x = range(height / 2) y = range(width) random.shuffle(x) random.shuffle(y) for i in range(height / 2): for j in range(width): res[x[i]][y[j]] = watermark[i][j] cv2.imwrite(res_path, res, [int(cv2.IMWRITE_JPEG_QUALITY), 100]) if __name__ == '__main__': main()
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