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

[1]  Takayuki Ito,et al.  Neocognitron: A neural network model for a mechanism of visual pattern recognition , 1983, IEEE Transactions on Systems, Man, and Cybernetics.

[2]  Tohru Kohda,et al.  Pseudonoise Sequences by Chaotic Nonlinear Maps and Their Correlation Properties , 1993 .

[3]  T. Kohda,et al.  Statistics of chaotic binary sequences , 1997, IEEE Trans. Inf. Theory.

[4]  Thierry Pun,et al.  Rotation, scale and translation invariant spread spectrum digital image watermarking , 1998, Signal Process..

[5]  Wenjun Zeng,et al.  Image-adaptive watermarking using visual models , 1998, IEEE J. Sel. Areas Commun..

[6]  Mauro Barni,et al.  A DCT-domain system for robust image watermarking , 1998, Signal Process..

[7]  Ingemar J. Cox,et al.  Rotation, scale, and translation resilient watermarking for images , 2001, IEEE Trans. Image Process..

[8]  Jui-Cheng Yen,et al.  Watermark embedded in permuted domain , 2001 .

[9]  Jui-Cheng Yen.  Watermarks embedded in the permuted image , 2001, ISCAS 2001. The 2001 IEEE International Symposium on Circuits and Systems (Cat. No.01CH37196).

[10]  Yiwei Wang,et al.  A wavelet-based watermarking algorithm for ownership verification of digital images , 2002, IEEE Trans. Image Process..

[11]  Kwok-Wo Wong,et al.  Handwritten digit recognition using multilayer feedforward neural networks with periodic and monotonic activation functions , 2002, Object recognition supported by user interaction for service robots.

[12]  Anastasios Tefas,et al.  Performance analysis of correlation-based watermarking schemes employing Markov chaotic sequences , 2003, IEEE Trans. Signal Process..