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Chinese Optics Letters

Chinese Optics Letters


  • Vol. 5, Iss. 6 — Jun. 10, 2007
  • pp: 332–335

Geometrically robust image watermarking using scale-invariant feature transform and Zernike moments

Leida Li, Baolong Guo, and Kai Shao  »View Author Affiliations

Chinese Optics Letters, Vol. 5, Issue 6, pp. 332-335 (2007)

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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.

© 2007 Chinese Optics Letters

OCIS Codes
(100.2000) Image processing : Digital image processing
(100.5010) Image processing : Pattern recognition
(100.5760) Image processing : Rotation-invariant pattern recognition

Leida Li, Baolong Guo, and Kai Shao, "Geometrically robust image watermarking using scale-invariant feature transform and Zernike moments," Chin. Opt. Lett. 5, 332-335 (2007)

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