Residential College | false |
Status | 已發表Published |
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 Name | 2012 9th International Conference on Computer Graphics, Imaging and Visualization |
Source Publication | CGiV 2012 - 2012 9th International Conference on Computer Graphics, Imaging and Visualization |
Pages | 53-56 |
Conference Date | 2012-11 |
Conference Place | Singapore |
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. |
Keyword | Geometric Invariant Local Zernike Transform Robust Feature Points Detector Sift |
DOI | 10.1109/CGIV.2012.17 |
URL | View the original |
Indexed By | CPCI-S |
Language | 英語English |
Scopus ID | 2-s2.0-84868237535 |
Fulltext Access | |
Citation statistics | |
Document Type | Conference paper |
Collection | DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE |
Affiliation | Universidade de Macau |
First Author Affilication | University 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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