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Application of Genetic-Based Wavelet Packet Watermarking for Copyright Protection

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Recent Advances in Information Hiding and Applications

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 40))

Summary

Copyright protection is mostly required for lots of applications, and watermarking is a scheme for making this possible. In this chapter, we propose a genetic watermarking scheme based on the wavelet packet transform (WPT) for the applications of copyright protection and trusted communication. Wavelet packet transform can be regarded as a generalization of the discrete wavelet transformh (DWT). For the WPT, a best wavelet basis in the sense of evaluation metric can be found within a large library of permissible bases. In addition, genetic algorithm (GA) is employed to select an appropriate basis from permissible bases of wavelet packet transform to meet the requirements of our watermarking algorithm. After the training with GA, the secret information corresponding to copyright owners can be embedded into original images, and the watermarked image is obtained. During transmission of watermarked images, intentional signal processing is expected, and our watermarking algorithm is considered to keep the integrity for the trusted communication. Experimental results demonstrate that the proposed method can increase the capability to resist intentional signal processing for the use of GA. Moreover, the watermarked image quality can be guaranteed based on the inherent characteristics of the watermarking algorithm. Better performances can also be observed over existing methods in literature, and our algorithm is suitable for the application of copyright protection and trusted communication.

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Correspondence to Hsiang-Cheh Huang .

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Huang, HC., Chen, YH. (2013). Application of Genetic-Based Wavelet Packet Watermarking for Copyright Protection. In: Pan, JS., Huang, HC., Jain, L., Zhao, Y. (eds) Recent Advances in Information Hiding and Applications. Intelligent Systems Reference Library, vol 40. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28580-6_7

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  • DOI: https://doi.org/10.1007/978-3-642-28580-6_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28579-0

  • Online ISBN: 978-3-642-28580-6

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