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Affine Legendre moment invariants for image watermarking robust to geometric distortions.
Zhang H., Shu H., Coatrieux G., Zhu J., Wu J. Q. M., Zhang Y., Zhu H., Luo L.
IEEE Transactions on Image Processing 20, 8 (2011) 2189-99 - http://www.hal.inserm.fr/inserm-00625194
 (21342852) 
Affine Legendre moment invariants for image watermarking robust to geometric distortions.
Hui Zhang1, 2, Huazhong Shu1, 2, Gouenou Coatrieux3, Jie Zhu1, 2, Jonathan Wu4, Yue Zhang1, 2, Hongqing Zhu2, Limin Luo () 1, 2
1 :  CRIBS - Centre de Recherche en Information Biomédicale sino-français
INSERM : LABORATOIRE INTERNATIONAL ASSOCIÉ – Université de Rennes 1 – SouthEast University
Rennes
France
2 :  LIST - Laboratory of Image Science and Technology
SouthEast University – School of Computer Science and Engineering
Si Pai Lou 2, Nanjing, 210096
Chine
3 :  LATIM - Laboratoire de Traitement de l'Information Medicale
INSERM : U650 – Université de Bretagne Occidentale [UBO] – Institut Mines-Télécom – Télécom Bretagne – CHU Brest – PRES Université Européenne de Bretagne [UEB]
Hopital Morvan, 5 Avenue Foch, 29609 Brest Cedex
France
4 :  Department of Electrical and Computer Engineering
The University of Windsor
Windsor, ON N9B3P4
Canada
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.
Sciences du Vivant/Ingénierie biomédicale
Anglais
1941-0042

Articles dans des revues avec comité de lecture
10.1109/TIP.2011.2118216
IEEE Transactions on Image Processing (IEEE Trans Image Process)
Publisher Institute of Electrical and Electronics Engineers (IEEE)
ISSN 1057-7149 
internationale
08/2011
22/02/2011
20
8
2189-99

Affine transformation – geometric attacks – image watermarking – Legendre moment invariants.
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