A lightweight rao-cauchy detector for additive watermarking in the dwt-domain

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A lightweight rao-cauchy detector for additive watermarking in the dwt-domain

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International Multimedia Conference archive
Proceedings of the 10th ACM workshop on Multimedia and security table of contents

Oxford, United Kingdom

SESSION: Watermarking table of contents

Pages 33-42

Year of Publication: 2008

ISBN:978-1-60558-058-6

Authors

Roland Kwitt	University of Salzburg, Salzburg, Austria
Peter Meerwald	University of Salzburg, Salzburg, Austria
Andreas Uhl	University of Salzburg, Salzburg, Austria

Sponsors

ACM: Association for Computing Machinery
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia

Publisher

ACM New York, NY, USA

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ABSTRACT

This paper presents a lightweight, asymptotically optimal blind detector for additive spread-spectrum watermark detection in the DWT domain. In our approach, the marginal distributions of the DWT detail subband coefficients are modeled by one-parameter Cauchy distributions and we assume no knowledge of the watermark embedding power. We derive a Rao hypothesis test to detect watermarks of unknown amplitude in Cauchy noise and show that the proposed detector is competitive with the Generalized Gaussian detector, yet is more efficient in terms of required computations.

REFERENCES

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