Optimum detection of multiplicative watermarks for digital images in the DWT domain

Authors:
Zhongwei Sun;Rui Xue;Dengguo Feng
Affiliations:
State Key Laboratory of Information Security, Institute of Software , Chinese Academy of Sciences, Beijing, People's Republic of China;State Key Laboratory of Information Security, Institute of Software , Chinese Academy of Sciences, Beijing, People's Republic of China;State Key Laboratory of Information Security, Institute of Software , Chinese Academy of Sciences, Beijing, People's Republic of China
Venue:
EGMM'04 Proceedings of the Seventh Eurographics conference on Multimedia
Year:
2004

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Abstract

Watermark detection plays a crucial role in digital watermarking. It has traditionally been tackled using correla-tion-based techniques. However, the correlation-based detection is not the optimum choice when the host media doesn't follow a gaussian distribution or the watermark is not embedded in the host media in an additive way. A discrete wavelet transform (DWT) domain multiplicative watermark detection algorithm for digital images is propo-sed in this paper, which exploits the imperceptibility constraint of watermarking. By formulating the watermark detection as weak signal detection in non-gaussian noise, the proposed algorithm is derived according to statistical inference theory. With the wavelet coefficients modeled by generalized gaussian distribution (GGD), the optimum decision threshold for the detector is obtained by applying Neyman-pearson criteria. The superiority of the novel detector in performance is confirmed through Monte Carlo simulations.