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A geometric invariant digital image watermarking scheme based on robust feature detector and local Zernike moments
Yuan X.-C.; Pun C.-M.
2012-11-06
Conference Name2012 9th International Conference on Computer Graphics, Imaging and Visualization
Source PublicationCGiV 2012 - 2012 9th International Conference on Computer Graphics, Imaging and Visualization
Pages53-56
Conference Date2012-11
Conference PlaceSingapore
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. © 2012 IEEE.

KeywordGeometric Invariant Local Zernike Transform Robust Feature Points Detector Sift
DOI10.1109/CGIV.2012.17
URLView the original
Indexed ByCPCI-S
Language英語English
Scopus ID2-s2.0-84868237535
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Citation statistics
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
AffiliationUniversidade de Macau
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Yuan X.-C.,Pun C.-M.. A geometric invariant digital image watermarking scheme based on robust feature detector and local Zernike moments[C], 2012, 53-56.
APA Yuan X.-C.., & Pun C.-M. (2012). A geometric invariant digital image watermarking scheme based on robust feature detector and local Zernike moments. CGiV 2012 - 2012 9th International Conference on Computer Graphics, Imaging and Visualization, 53-56.
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