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RST-Invariant Semi-fragile Image Authentication Based on DWT-Coefficient Quantization

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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 propose an image moment-based geometric nor malization to be applied before embedding and extracting a digital watermark in the DWT-domain of JPEG2000. A semi-fragile signature, generated from the normalized host signal, afterwards, is embedded for image authentication. The new system is tested extensively and per formance results are compared to those of methods proposed by other authors. Our new semi-fragile image authentica tion is robust against non-malicious modifications, such as lossy compression, noise, image blurring and sharpening, changes of luminance and contrast as well as scaling, rotation, translation, and shearing.

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References

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Author information

Authors and Affiliations

  1. Institute of Communications Engineering, Faculty of Computer Science and Electrical Engineering, University of Rostock, Rostock, 18119, Germany

    Mathias Schlauweg & Erika Müller

Authors
  1. Mathias Schlauweg
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  2. Erika Müller
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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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Schlauweg, M., Müller, E. (2009). RST-Invariant Semi-fragile Image Authentication Based on DWT-Coefficient Quantization. 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_55

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  • DOI: https://doi.org/10.1007/978-3-642-10467-1_55

  • 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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