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Scalability Evaluation of Blind Spread-Spectrum Image Watermarking

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Digital Watermarking (IWDW 2008)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 5450))

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Abstract

In this paper, we investigate the scalability aspect of blind watermark detection under combined quality and resolution adaptation of JPEG2000 and JPEG coded bitstreams. We develop two multi-channel watermarking schemes with blind detection, based on additive spread-spectrum watermarking: one employs the DCT domain, the other the DWT domain. We obtain watermark scalability by combining detection results from multiple channels modeled by Generalized Gaussian distributions. Both schemes achieve incremental improvement of detection reliability as more data of a scalable bitstream becomes available.

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Author information

Authors and Affiliations

  1. Dept. of Computer Sciences, University of Salzburg, Jakob-Haringer-Str. 2, A-5020, Salzburg, Austria

    Peter Meerwald & Andreas Uhl

Authors
  1. Peter Meerwald
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  2. Andreas Uhl
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Editor information

Editors and Affiliations

  1. Graduate School of Information Management & Security, CIST, Korea University, 136-701, Seoul, Korea

    Hyoung-Joong Kim

  2. Security Engineering Group, Technische Universität Darmstadt, Hochschulstr. 10, 64289, Darmstadt, Germany

    Stefan Katzenbeisser

  3. Faculty of Engineering and Physical Sciences, Department of Computing, University of Surrey, GU2 7XH, Guildford, Surrey, UK

    Anthony T. S. Ho

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© 2009 Springer-Verlag Berlin Heidelberg

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Meerwald, P., Uhl, A. (2009). Scalability Evaluation of Blind Spread-Spectrum Image Watermarking. In: Kim, HJ., Katzenbeisser, S., Ho, A.T.S. (eds) Digital Watermarking. IWDW 2008. Lecture Notes in Computer Science, vol 5450. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04438-0_6

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  • DOI: https://doi.org/10.1007/978-3-642-04438-0_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04437-3

  • Online ISBN: 978-3-642-04438-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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