DocumentCode :
3293799
Title :
A Geometric Invariant Digital Image Watermarking Scheme Based on Robust Feature Detector and Local Zernike Moments
Author :
Yuan, Xiao-Chen ; Pun, Chi-Man
Author_Institution :
Dept. of Comput. & Inf. Sci., Univ. of Macau, Macau, China
fYear :
2012
fDate :
25-27 July 2012
Firstpage :
53
Lastpage :
56
Abstract :
A robust and geometric invariant digital image watermarking scheme based on robust feature points detector and local Zernike transform is proposed in this paper. The robust feature points detector is proposed based on SIFT algorithm to extract circular patches. A local Zernike moments-based watermarking scheme is raised. Each extracted circular patch is decomposed into a collection of binary patches and Zernike transform is applied to the appointed binary patches. Experimental results show that the proposed scheme is very robust against geometric distortions and common signal processing.
Keywords :
feature extraction; image watermarking; SIFT algorithm; circular patches extraction; geometric distortions; geometric invariant digital image watermarking scheme; local Zernike moments; robust feature detector; signal processing; Digital images; Feature extraction; Robustness; Signal processing; Signal processing algorithms; Transforms; Watermarking; Geometric Invariant; Local Zernike Transform; Robust Feature Points Detector; SIFT;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Graphics, Imaging and Visualization (CGIV), 2012 Ninth International Conference on
Conference_Location :
Hsinchu
Print_ISBN :
978-1-4673-2335-2
Electronic_ISBN :
978-0-7695-4778-7
Type :
conf
DOI :
10.1109/CGIV.2012.17
Filename :
6298348
Link To Document :
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