A novel blind digital watermark algorithm based on neural network and chaotic map

Authors:
Pengcheng Wei;Wei Zhang;Huaqian Yang;Degang Yang
Affiliations:
Department of Computer and Modern Education Technology, Chongqing Education College, Chongqing, China and Department of Computer Science and Engineering, Chongqing University, Chongqing, China;Department of Computer and Modern Education Technology, Chongqing Education College, Chongqing, China and Department of Computer Science and Engineering, Chongqing University, Chongqing, China;Department of Computer and Modern Education Technology, Chongqing Education College, Chongqing, China and Department of Computer Science and Engineering, Chongqing University, Chongqing, China;Department of Computer Science and Engineering, Chongqing University, Chongqing, China
Venue:
ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III
Year:
2006

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Abstract

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.