A Novel Blind Digital Watermark Algorithm Based on Neural Network and Chaotic Map

摘要

In order to enhance robustness and security of the embedded watermark, proposed a novel blind digital watermark algorithm based on neural network and chaotic map Firstly, a better chaotic sequence is generated by Cellular Neural Network (CNN) and Chebyschev map, using the chaotic sequence encrypted the watermark and its spectrum is spread. Then, BPN is trained to memorize the relationship among pixels of each sub-block image. Furthermore, the adaptive embedding algorithm is adopted to enhance the characters of the watermarking system. Simulation results are given which show that this scheme is practical, secure and robust.