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Watermark Detection Algorithm Using Statistical Decision Theory  

권성근 (경북대학교 전자전기컴퓨터학부)
김병주 (경북대학교 전자전기컴퓨터학부)
이석환 (경북대학교 전자전기컴퓨터학부)
권기구 (경북대학교 전자전기컴퓨터학부)
권기용 (부산외국어대하교 전자공학과)
이건일 (경북대학교 전자전기컴퓨터학부)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.40, no.1, 2003 , pp. 39-49 More about this Journal
Abstract
Watermark detection has a crucial role in copyright protection of and authentication for multimedia and has classically been tackled by means of correlation-based algorithms. Nevertheless, when watermark embedding does not obey an additive rule, correlation-based detection is not the optimum choice. So a new detection algorithm is proposed which is optimum for non-additive watermark embedding. By relying on statistical decision theory, the proposed method is derived according to the Bayes decision theory, Neyman-Pearson criterion, and distribution of wavelet coefficients, thus permitting to minimize the missed detection probability subject to a given false detection probability. The superiority of the proposed method has been tested from a robustness perspective. The results confirm the superiority of the proposed technique over classical correlation- based method.
Keywords
Digital watermarking; Bayes theory; Neyman-Pearson criterion;
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