Chinese Optics Letters, 2007, 5 (6): 332, Published Online: Jun. 30, 2007
Geometrically robust image watermarking using scale-invariant feature transform and Zernike moments Download: 1557次
图像水印 几何攻击 尺度不变特征变换(SIFT) Zernike矩 100.2000 Digital image processing 100.5010 Pattern recognition 100.5760 Rotation-invariant pattern recognition
Abstract
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.
Leida Li, Baolong Guo, Kai Shao. Geometrically robust image watermarking using scale-invariant feature transform and Zernike moments[J]. Chinese Optics Letters, 2007, 5(6): 332.