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Multimedia Watermark Detection Algorithm Based on Bayes Decision Theory  

권성근 (경북대학교 전자전기공학부)
이석환 (경북대학교 전자전기공학부)
김병주 (경북대학교 전자전기공학부)
권기구 (경북대학교 전자전기공학부)
하인성 (중소기업청)
권기룡 (부산외국어대학교 전자공학과)
이건일 (경북대학교 전자전기공학부)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.27, no.7A, 2002 , pp. 695-704 More about this Journal
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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