20 June 2003 Watermark detection algorithm in multimedia using statistical decision theory
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Abstract
Watermark detection plays a crucial role in multimedia copyright protection and has traditionally been tackled using correlation-based algorithms. However, correlation-based detection is not actually the best choice, as it does not utilize the distributional characteristics of the image being marked. Accordingly, an efficient watermark detection scheme for DWT coefficients is proposed as optimal for non-additive schemes. Based on the statistical decision theory, the proposed method is derived according to Bayes’ decision theory, the Neyman-Pearson criterion, and the distribution of the DWT coefficients, thereby minimizing the missed detection probability subject to a given false alarm probability. The proposed method was tested in the context of robustness, and the results confirmed the superiority of the proposed technique over conventional correlation-based detection method.
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Seong-Geun Kwon, Seong-Geun Kwon, Ki-Ryong Kwon, Ki-Ryong Kwon, Kuhn-Il Lee, Kuhn-Il Lee, } "Watermark detection algorithm in multimedia using statistical decision theory", Proc. SPIE 5020, Security and Watermarking of Multimedia Contents V, (20 June 2003); doi: 10.1117/12.477332; https://doi.org/10.1117/12.477332
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