DocumentCode
1862015
Title
Geometrically invariant watermarking using affine covariant regions
Author
Deng, Cheng ; Gao, Xinbo ; Tao, Dacheng ; Li, Xuelong
Author_Institution
Sch. of Electron. Eng., Xidian Univ., Xian
fYear
2008
fDate
12-15 Oct. 2008
Firstpage
413
Lastpage
416
Abstract
In this paper, we present a robust approach to digital watermarking embedding and retrieval for digital images. The affine-invariant point detector is used to extract feature regions of the given host image. Image normalization and dominant gradient orientation alignment are applied to these feature regions to achieve scaling and rotation invariance. Thereafter, watermarks are embedded in these feature regions. The advantage of this proposed approach is demonstrated by a large amount of experiments, which can against different attacks, such as common image processing, rotation, scaling, cropping, and several other affine transformations.
Keywords
feature extraction; gradient methods; image coding; image retrieval; watermarking; affine covariant regions; affine transformations; affine-invariant point detector; digital image retrieval; digital watermarking embedding; dominant gradient orientation alignment; feature extraction; geometrically invariant watermarking; image cropping; image normalization; image processing; image rotation; image scaling; rotation invariance; scaling invariance; Computer science; Computer vision; Content based retrieval; Covariance matrix; Detectors; Feature extraction; Image processing; Image retrieval; Robustness; Watermarking; Affine covariant region; Affine-invariant point; Digital watermarking; Dominant gradient; Image Normalization; Orientation alignment;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location
San Diego, CA
ISSN
1522-4880
Print_ISBN
978-1-4244-1765-0
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2008.4711779
Filename
4711779
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