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
Link To Document :
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