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Publication details
Authors M.BarniF.BartoliniA.De RosaA.Piva
Title A New Decoder for the Optimum Recovery of Non-Additive Watermarks
Abstract Watermark detection, i.e. the detection of an invisible signal hidden within an image for copyright protection or data authentication, has classically been tackled by means of correlation-based techniques. Nevertheless, when watermark embedding does not obey an additive rule, or when the features the watermark is superimposed on do not follow a Gaussian pdf, correlation-based decoding is not the optimum choice. A new decoding algorithm is presented here which is optimum for non-additive watermarks embedded in the magnitude of a set of full-frame DFT coefficients of the host image. By relying on statistical decision theory, the structure of the optimum decoder is derived according to the Neyman-Pearson criterion, thus permitting to minimize the missed detection probability subject to a given false detection rate. The validity of the optimum decoder has been tested thoroughly to assess the improvement it permits to achieve from a robustness perspective. The results we obtained confirm the superiority of the novel algorithm with respect to classical correlation-based decoding.
Publication IEEE Transactions on Image Processing
Typology International Journal Papers
Date May 2001
Other info vol. 10, no. 5, pp. 755-766, 
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