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Geometrically robust image watermarking using scale-invariant feature transform and Zernike moments 被引量:22

Geometrically robust image watermarking using scale-invariant feature transform and Zernike moments
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摘要 In order to resist geometric attacks, a robust image watermarking algorithm is proposed using scale- invariant feature transform (SIFT) and Zernike moments. As SIFT features are invariant to rotation and scaling, we employ SIFT to extract feature points. Then circular patches are generated using the most robust points. An invariant watermark is generated from each circular patch based on Zernike moments. The watermark is embedded into multiple patches for resisting locally cropping attacks. Experimental results show that the proposed scheme is robust to both geometric attacks and signal processing attacks. In order to resist geometric attacks, a robust image watermarking algorithm is proposed using scale- invariant feature transform (SIFT) and Zernike moments. As SIFT features are invariant to rotation and scaling, we employ SIFT to extract feature points. Then circular patches are generated using the most robust points. An invariant watermark is generated from each circular patch based on Zernike moments. The watermark is embedded into multiple patches for resisting locally cropping attacks. Experimental results show that the proposed scheme is robust to both geometric attacks and signal processing attacks.
机构地区 ICIE Institute
出处 《Chinese Optics Letters》 SCIE EI CAS CSCD 2007年第6期332-335,共4页 中国光学快报(英文版)
基金 This work was supported by the National Natural Science Foundation of China under Grant No.60572152.
关键词 ALGORITHMS Image processing Algorithms Image processing
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