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A Robust and Removable Watermarking Scheme Using Singular Value Decomposition
( Ya-feng Di ),( Chin-feng Lee ),( Zhi-hui Wang ),( Chin-chen Chang ),( Jianjun Li ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.12
Digital watermarking techniques are widely applied to protect the integrity and copyright of digital content. In a majority of the literature for watermarking techniques, the watermarked image often causes some distortions after embedding a watermark. For image-quality-concerned users, the distortions from a watermarked image are unacceptable. In this article, we propose a removable watermarking scheme that can restore an original-like image and resist signal-processing attacks to protect the ownership of an image by utilizing the property of singular value decomposition (SVD). The experimental results reveal that the proposed scheme meets the requirements of watermarking robustness, and also reestablishes an image like the original with average PSNR values of 59.07 dB for reconstructed images.
A Robust and Removable Watermarking Scheme Using Singular Value Decomposition
Di, Ya-Feng,Lee, Chin-Feng,Wang, Zhi-Hui,Chang, Chin-Chen,Li, Jianjun Korean Society for Internet Information 2016 KSII Transactions on Internet and Information Syst Vol.10 No.12
Digital watermarking techniques are widely applied to protect the integrity and copyright of digital content. In a majority of the literature for watermarking techniques, the watermarked image often causes some distortions after embedding a watermark. For image-quality-concerned users, the distortions from a watermarked image are unacceptable. In this article, we propose a removable watermarking scheme that can restore an original-like image and resist signal-processing attacks to protect the ownership of an image by utilizing the property of singular value decomposition (SVD). The experimental results reveal that the proposed scheme meets the requirements of watermarking robustness, and also reestablishes an image like the original with average PSNR values of 59.07 dB for reconstructed images.