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.
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Wei, P., Zhang, W., Yang, H., Yang, D. (2006). A Novel Blind Digital Watermark Algorithm Based on Neural Network and Chaotic Map. In: King, I., Wang, J., Chan, LW., Wang, D. (eds) Neural Information Processing. ICONIP 2006. Lecture Notes in Computer Science, vol 4234. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893295_28
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DOI: https://doi.org/10.1007/11893295_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46484-6
Online ISBN: 978-3-540-46485-3
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