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Accurate Polar Harmonic Transform-Based Watermarking Using Blind Statistical Detector

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Network and System Security (NSS 2021)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 13041))

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Abstract

Digital image watermarking is an effective image copyright protection technology, which embeds the copyright information into the image to be protected, therefore achieving the purpose of image copyright protection. The recently proposed Polar harmonic transforms (PHTs) have provided a set of powerful tools for image representation. However, the accuracy of PHTs suffers from various errors, such as the geometric and numerical integration errors. In this paper, we propose an accurate computational framework of PHTs based on wavelet integration approach and present a novel accurate PHT-based multiplicative watermarking algorithm. We embed watermark data into selected blocks of the host image by modifying the PHT magnitudes due to strong robustness against various attacks. At the receiver, the distribution of watermarked noisy PHT magnitudes is analytically calculated; closed form expressions are obtained for extracting the watermark bits. Compared with other decoders, the proposed decoder has better performance in terms of watermark robustness. In addition, the proposed watermarking algorithm can effectively resist geometrical attacks and common image processing attacks.

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Acknowledgement

This work was supported in part by the National Science Foundation of China (NSFC) under Grant No. 61602226; in part by the PhD Startup Foundation of Liaoning Technical University of China under Grant No. 18-1021; in part by Science and Technology Development Plan Project of Taian City under Grant No. 2019GX027.

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Authors and Affiliations

  1. School of Electronic and Information Engineering, Liaoning Technical University, Huludao, 125105, China

    Yu Sang, Zhiyang Yang & Chen Zhao

  2. School of Information Science and Technology, Taishan University, Taian, 271000, China

    Yilin Bei

Authors
  1. Yu Sang
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  2. Yilin Bei
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  3. Zhiyang Yang
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  4. Chen Zhao
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Corresponding author

Correspondence to Yu Sang .

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Editors and Affiliations

  1. Fudan University, Shanghai, China

    Min Yang

  2. James Cook University, Townsville, QLD, Australia

    Chao Chen

  3. Nanyang Technological University, Singapore, Singapore

    Yang Liu

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Sang, Y., Bei, Y., Yang, Z., Zhao, C. (2021). Accurate Polar Harmonic Transform-Based Watermarking Using Blind Statistical Detector. In: Yang, M., Chen, C., Liu, Y. (eds) Network and System Security. NSS 2021. Lecture Notes in Computer Science(), vol 13041. Springer, Cham. https://doi.org/10.1007/978-3-030-92708-0_17

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  • DOI: https://doi.org/10.1007/978-3-030-92708-0_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-92707-3

  • Online ISBN: 978-3-030-92708-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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