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• W2897536521 abstract "With the increasing demands of copyright protection, digital watermarking has been paid more and more attention. In the design of a watermarking method, the modeling of signal by a general parametric family of statistical distributions plays an important role in many image watermarking applications. In this paper, the probability density function of wavelet coefficients is modeled by the generalized Gaussian distribution (GGD), and the decision threshold is obtained by the Neyman-Pearson (NP) criterion. In the procedure of watermark embedding, the energy of image block is considered in the watermark embedding. Only those blocks whose energy exceeds a predetermined threshold are used to embed the watermark data. Its improved robustness is due to embedding in the significant wavelet coefficients based on the energy scheme and control of its strength factor from the variance of coefficient. Experimental results demonstrate that the effectiveness of the presented watermarking and its robustness against common image processing and some kinds of geometric attacks." @default.
• W2897536521 created "2018-10-26" @default.
• W2897536521 creator A5059575071 @default.
• W2897536521 date "2018-06-01" @default.
• W2897536521 modified "2023-10-13" @default.
• W2897536521 title "An Image Watermarking Algorithm Based on Energy Scheme in the Wavelet Transform Domain" @default.
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• W2897536521 doi "https://doi.org/10.1109/icivc.2018.8492868" @default.
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