Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/70376
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Type: Journal article
Title: Evaluation of the sign detector for DCT domain watermark detection
Author: Duan, F.
Abbott, D.
Chapeau-Blondeau, F.
Citation: Fluctuation and Noise Letters, 2011; 10(4):337-358
Publisher: World Scientific Publishing Co. Pty. Ltd.
Issue Date: 2011
ISSN: 0219-4775
1793-6780
Statement of
Responsibility: 
Fabing Duan, Derek Abbott, François Chapeau-Blondeau
Abstract: Reordering by the rule of decreased absolute amplitudes, the discrete cosine transformation (DCT) coefficients of an image are approximately modeled as dichotomous noise. Based on this assumption, it is interesting to note that the classical multiplicative embedding method can be transformed into an additive embedding rule, which accords with the signal processing problem of detecting a known weak signal in additive non-Gaussian noise. Then, following the generalized Neyman-Pearson lemma, a locally optimum detector, named the sign detector, is introduced to distinguish the correct watermark from the wrong ones. The statistical characteristics of this nonlinear sign detector are analytically investigated in detail. Extensive experimental results demonstrate the robustness of watermark against some common attacks, e.g., JPEG compression, cropping, filtering, additive Gaussian noise, dithering, and also verify the robust performance of the nonlinear sign detector for watermark detection.
Keywords: Nonlinear sign detector; Neyman-Pearson lemma; watermark detection; robustness
Rights: © World Scientific Publishing Company
RMID: 0020116382
DOI: 10.1142/S0219477511000612
Appears in Collections:Electrical and Electronic Engineering publications

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