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A Reversible Watermarking Scheme for High-Fidelity Applications

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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 reversible watermarking scheme for high-fidelity applications. An improved histogram shifting technique is employed in this method to increase the embedding capacity and ameliorate the visual quality of the watermarked image. The method ensures that the modification of each pixel value is at most 1 in single pass embedding. In addition, two criteria, “near-lossless” and “almost-lossless”, are used to evaluate the fidelity of our method. Experimental results and performance comparison with other recently proposed reversible watermarking schemes clearly demonstrate that our method outperforms the previous ones.

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Author information

Authors and Affiliations

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

    Xiang Wang, Xiaolong Li, Bin Yang & Zongming Guo

Authors
  1. Xiang Wang
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  2. Xiaolong Li
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  3. Bin Yang
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  4. Zongming Guo
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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, X., Li, X., Yang, B., Guo, Z. (2009). A Reversible Watermarking Scheme for High-Fidelity Applications. 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_54

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  • DOI: https://doi.org/10.1007/978-3-642-10467-1_54

  • 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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