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Article Dans Une Revue IEEE Transactions on Image Processing Année : 2011

Affine Legendre moment invariants for image watermarking robust to geometric distortions.

Résumé

Geometric distortions are generally simple and effective attacks for many watermarking methods. They can make detection and extraction of the embedded watermark difficult or even impossible by destroying the synchronization between the watermark reader and the embedded watermark. In this paper, we propose a new watermarking approach which allows watermark detection and extraction under affine transformation attacks. The novelty of our approach stands on a set of affine invariants we derived from Legendre moments. Watermark embedding and detection are directly performed on this set of invariants. We also show how these moments can be exploited for estimating the geometric distortion parameters in order to permit watermark extraction. Experimental results show that the proposed watermarking scheme is robust to a wide range of attacks: geometric distortion, filtering, compression, and additive noise.
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Dates et versions

inserm-00625194 , version 1 (21-09-2011)

Identifiants

Citer

Hui Zhang, Huazhong Shu, Gouenou Coatrieux, Jie Zhu, Jonathan Q. M. Wu, et al.. Affine Legendre moment invariants for image watermarking robust to geometric distortions.. IEEE Transactions on Image Processing, 2011, 20 (8), pp.2189-99. ⟨10.1109/TIP.2011.2118216⟩. ⟨inserm-00625194⟩
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