Robust watermarking based on DWT and nonnegative matrix factorization |
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Authors: | Wei Lu Wei Sun |
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Affiliation: | a School of Information Science and Technology, Guangdong Key Laboratory of Information Security Technology, Sun Yat-sen University, Guangzhou 510275, China b Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China |
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Abstract: | This paper presents a novel blind robust digital image watermarking scheme using nonnegative matrix factorization (NMF) in DWT domain. Firstly, the original image is transformed into some subband coefficients using discrete wavelet transformation (DWT), and then a Gaussian pseudo-random watermark sequence is embedded in the factorized decomposition coefficients using NMF. Because of the multiresolution decomposition for DWT and physically meaningful factorization for NMF, the proposed scheme can achieve good robustness, which is also demonstrated in the following experiments. |
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Keywords: | Watermarking Nonnegative matrix factorization DWT |
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