UM
Geometrically invariant image watermarking based on feature extraction and Zernike transform
Yuan X.-C.; Pun C.-M.
2012-08-08
Source PublicationInternational Journal of Security and its Applications
ISSN17389976
Volume6Issue:2Pages:217-222
AbstractA robust and geometric invariant digital image watermarking scheme based on feature extraction and local Zernike transform is proposed in this paper. The Adaptive Harris Detector is proposed to extract feature patches for watermarking use. A local Zernike moments-based watermarking scheme is raised, where the watermarked patches can be obtained directly by inverse Zernike Transform. Each extracted circular patch is decomposed into a collection of binary patches and Zernike transform is applied to the appointed binary patches. Magnitudes of the local Zernike moments are calculated and modified to embed the watermarks. Inverse Zernike transform is applied to reconstruct the watermarked binary patch. Experimental results show that the proposed scheme is very robust against geometric distortion such as rotation, scaling, cropping, and affine transformation, and common signal processing.
KeywordAdaptive harris detector Feature extraction Geometric invariant Inverse zernike transform Local zernike transform
URLView the original
Language英語
Fulltext Access
Document TypeJournal article
CollectionUniversity of Macau
AffiliationUniversidade de Macau
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Yuan X.-C.,Pun C.-M.. Geometrically invariant image watermarking based on feature extraction and Zernike transform[J]. International Journal of Security and its Applications,2012,6(2):217-222.
APA Yuan X.-C.,&Pun C.-M..(2012).Geometrically invariant image watermarking based on feature extraction and Zernike transform.International Journal of Security and its Applications,6(2),217-222.
MLA Yuan X.-C.,et al."Geometrically invariant image watermarking based on feature extraction and Zernike transform".International Journal of Security and its Applications 6.2(2012):217-222.
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