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