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A High Capacity Reversible Watermarking Scheme Based on an Integer Transform

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Advances in Multimedia Information Processing - PCM 2009 (PCM 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5879))

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Abstract

In this paper, we present a novel reversible watermarking scheme based on an improved integer transform. Our scheme puts emphasis on the high embedding capacity with low distortion. For instance, one can embed more than 1.5 BPP in Lena by the proposed scheme in a single pass embedding, and meanwhile the resulting PSNR is relatively good. Experiment results show that the performance of our scheme is better than some state-of-the-art algorithms.

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Author information

Authors and Affiliations

  1. Institute of Computer Science and Technology, Peking University, Beijing, 100871, China

    Gaoyang Wang, Xiaolong Li & Bin Yang

Authors
  1. Gaoyang Wang
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  2. Xiaolong Li
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  3. Bin Yang
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Editor information

Editors and Affiliations

  1. Naresuan University, 65000, Phisanulok, Thailand

    Paisarn Muneesawang

  2. Microsoft Research Asia, 100109, Beijing, China

    Feng Wu

  3. Tokyo Institute of Technology, 226-8503, Yokohama, Japan

    Itsuo Kumazawa

  4. Mahanakorn University of Technology, 10530, Bankok, Thailand

    Athikom Roeksabutr

  5. Institute of Information Science, Academia Sinica, Taipei, Taiwan

    Mark Liao

  6. Chinese University of Hong Kong, Shatin, N.T., Hong Kong,  

    Xiaoou Tang

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© 2009 Springer-Verlag Berlin Heidelberg

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Wang, G., Li, X., Yang, B. (2009). A High Capacity Reversible Watermarking Scheme Based on an Integer Transform. In: Muneesawang, P., Wu, F., Kumazawa, I., Roeksabutr, A., Liao, M., Tang, X. (eds) Advances in Multimedia Information Processing - PCM 2009. PCM 2009. Lecture Notes in Computer Science, vol 5879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10467-1_133

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  • DOI: https://doi.org/10.1007/978-3-642-10467-1_133

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10466-4

  • Online ISBN: 978-3-642-10467-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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