UM
Invariant digital image watermarking using Adaptive Harris Corner Detector
Yuan X.-C.; Pun C.-M.
2011-11-14
Source PublicationProceedings - 2011 8th International Conference on Computer Graphics, Imaging and Visualization, CGIV 2011
Pages109-113
AbstractA robust and geometric invariant digital image watermarking scheme based on feature extraction and histogram distribution is proposed in this paper. The feature extraction method called Harris Corner Detector is adopted and revised by adjusting the response threshold value and ranking the response R value to extract feature points and thus define the regions for watermark data bits embedding and extraction. Each embedding region is a square matrix centering at the selected feature points. For watermark embedding, some pixels are moved to form a specific pattern in the intensity-level histogram distribution in each embedding region, indicating the watermark. For watermark extraction, the Adaptive Harris Corner Detector is adopted to restore the image to its original un-rotated position. According to the intensity-level histogram distribution in each embedded region, the watermark is extracted. Experimental results show that the proposed scheme is very robust against rotation, scaling, JPEG compression, median filtering, low-pass Gaussian filtering and also noise pollution. © 2011 IEEE.
KeywordFeature Extraction Geometric Invariant Harris Corner Detector Histogram Distribution
DOI10.1109/CGIV.2011.22
URLView the original
Language英語English
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Document TypeConference paper
CollectionUniversity of Macau
AffiliationUniversidade de Macau
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Yuan X.-C.,Pun C.-M.. Invariant digital image watermarking using Adaptive Harris Corner Detector[C],2011:109-113.
APA Yuan X.-C.,&Pun C.-M..(2011).Invariant digital image watermarking using Adaptive Harris Corner Detector.Proceedings - 2011 8th International Conference on Computer Graphics, Imaging and Visualization, CGIV 2011,109-113.
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