Abstract
The problem of optimum watermark recovery in a non additive, non Gaussian framework is addressed. Watermark casting is carried out on the frequency domain according to an additive-multiplicative rule. The structure of the optimum decoder is derived based on statistical decision theory. The Neyman-Pearson criterion is used to minimize the probability of missing the watermark for a given false detection rate. Experimental results highlights the superiority of the novel detector scheme with respect to conventional correlation-based decoding.
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De Rosa, A., Barni, M., Bartolini, F., Cappellini, V., Piva, A. (2000). Optimum Decoding of Non-additive Full Frame DFT Watermarks. In: Pfitzmann, A. (eds) Information Hiding. IH 1999. Lecture Notes in Computer Science, vol 1768. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10719724_12
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DOI: https://doi.org/10.1007/10719724_12
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