Abstract
Embedding a digital watermark in an electronic document is proving to be a feasible solution for multimedia copyright protection and authentication purposes. However, the balance between the watermark robustness and its invisibility has always been a challenge for watermarkers. Consequently, it was necessary to use a powerful computation system that can guarantee the watermarking requirements. In this end, we propose to apply genetic programming to digital watermarking. In this work, we are presenting a new watermarking scheme in DCT domain based on genetic programming (GP). It is an optimizing structure which permits to develop automatically the embedding equation of a DCT algorithm possessing a high PSNR value and a good robustness. Simulation results were satisfactory.
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References
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Harrak, H., Hien, T.D., Nagata, Y., Nakao, Z. (2006). DCT Watermarking Optimization by Genetic Programming. In: Kłopotek, M.A., Wierzchoń, S.T., Trojanowski, K. (eds) Intelligent Information Processing and Web Mining. Advances in Soft Computing, vol 35. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-33521-8_35
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DOI: https://doi.org/10.1007/3-540-33521-8_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-33520-7
Online ISBN: 978-3-540-33521-4
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