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Optimal Detection of Transform Domain Additive Watermark by Using Low Density Diversity

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Digital Watermarking (IWDW 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2613))

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Abstract

Perceptual based additive watermarking algorithms have good performance in literature, while the optimal detection of such watermarks under attacks remains a problem due to the inaccurate estimation of actual noise distribution. In this paper, a hybrid watermark with low density diversity is proposed. By accurately estimating the noise shape from diversity, the detector is noise adapted and optimal detection will be achieved. The trade-off caused by this diversity is negligible.

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References

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Author information

Authors and Affiliations

  1. Dept. Electronic Eng., Tsinghua University, 100084, Beijing, China

    Yafei Shao, Guowei Wu & Xinggang Lin

Authors
  1. Yafei Shao
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  2. Guowei Wu
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  3. Xinggang Lin
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Editor information

Editors and Affiliations

  1. Microsoft Research, 7 J. J. Thomson Avenue, CB3 0FB, Cambridge, UK

    Hyoung Joong Kim

  2. Department of Control and Instrumentation Engineering, Kangwon National University, 200-701, Chunchon, Korea

    Hyoung Joong Kim

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© 2003 Springer-Verlag Berlin Heidelberg

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Shao, Y., Wu, G., Lin, X. (2003). Optimal Detection of Transform Domain Additive Watermark by Using Low Density Diversity. In: Kim, H.J. (eds) Digital Watermarking. IWDW 2002. Lecture Notes in Computer Science, vol 2613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36617-2_10

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  • DOI: https://doi.org/10.1007/3-540-36617-2_10

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-01217-7

  • Online ISBN: 978-3-540-36617-1

  • eBook Packages: Springer Book Archive

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