Title :
Invariant Image Watermarking Based on Local Feature Regions
Author :
Deng, Cheng ; Gao, Xinbo ; Li, Xuelong ; Tao, Dacheng
Author_Institution :
Sch. of Electron. Eng., Xidian Univ., Xian
Abstract :
In this paper, a robust image watermarking approach is presented based on image local invariant features. The affine invariant point detector is used to extract feature regions of the given host image. Image normalization and dominant gradient orientation alignment are performed to these feature regions. Thereafter, circular watermark pattern are embedded in these image normalized patches. After the above procedures, full affine invariance can be achieved over these normalized patches. A large amount of experiments demonstrate that the proposed approach is robust against different attacks, such as common image processing, rotation, scaling, cropping, and several other geometric distortions.
Keywords :
feature extraction; image coding; watermarking; affine invariant point detector; dominant gradient orientation alignment; feature extraction; image normalization; invariant image watermarking; local feature regions; Computer science; Computer vision; Content based retrieval; Data mining; Detectors; Feature extraction; Image processing; Information systems; Robustness; Watermarking; Affine Covariant Region; Digital Watermarking; Gradient Orientation; Normalization;
Conference_Titel :
Cyberworlds, 2008 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-0-7695-3381-0