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Nonadditive Gaussian watermarking and its application to wavelet-based image watermarking

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2 Author(s)
P. Moulin ; Beckman Inst. for Adv. Sci. & Technol., Illinois Univ., Urbana, IL, USA ; A. Ivanovic

This paper extends our game-theoretic approach to design and embed watermarks in Gaussian signals in the presence of an adversary. The detector solves a binary hypothesis testing problem. The system is designed to minimize probability of error under the worst-case attack in a prescribed class of attacks. The embedder is allowed to filter the host signal and add a watermark, thereby making the scheme nonadditive. The theory is applied to wavelet-based image watermarking. We find that, in this framework, additive watermarks are clearly suboptimal.

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Image Processing. 2002. Proceedings. 2002 International Conference on  (Volume:3 )

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