Combining the Neural Network and the Chaotic Map to Construct Blind Digital Watermarking Scheme

A novel blind watermark algorithm based on the chaotic Chebyschev map is proposed. In order to enhance robustness and security of the embedded watermarking, a better chaotic sequence is generated by coupled Chebyschev map, and the original binary watermark is masked by the chaotic sequence. Then, a neural network is trained to memorize the relationship among pixels of each sub-block image. Finally, the masked binary watermark is embedded into the host image adaptive through changing the value of central pixel in a block of image. Simulation results are given which show that this scheme is practical, secure and robust