Feature Detection with Automatic Scale Selection
International Journal of Computer Vision
Scale & Affine Invariant Interest Point Detectors
International Journal of Computer Vision
Geometric Attacks on Image Watermarking Systems
IEEE MultiMedia
Digital Watermarking: 4th International Workshop, IWDW 2005, Siena, Italy, September 15-17, 2005, Proceedings (Lecture Notes in Computer Science)
Evaluation of feature extraction techniques for robust watermarking
IWDW'05 Proceedings of the 4th international conference on Digital Watermarking
A feature-based robust digital image watermarking scheme
IEEE Transactions on Signal Processing
Digital watermarking robust to geometric distortions
IEEE Transactions on Image Processing
Robust image watermarking based on generalized Radon transformations
IEEE Transactions on Circuits and Systems for Video Technology
Invariant image watermark using Zernike moments
IEEE Transactions on Circuits and Systems for Video Technology
A DWT-DFT composite watermarking scheme robust to both affine transform and JPEG compression
IEEE Transactions on Circuits and Systems for Video Technology
Invariant image watermarking using multi-scale Harris detector and wavelet moments
Computers and Electrical Engineering
SVD and DWT zero-bit watermarking algorithm
CAR'10 Proceedings of the 2nd international Asia conference on Informatics in control, automation and robotics - Volume 3
A new robust watermarking scheme to increase image security
EURASIP Journal on Advances in Signal Processing
A robust content based image watermarking using local invariant histogram
Multimedia Tools and Applications
Bayesian Segmentation Based Local Geometrically Invariant Image Watermarking
Fundamenta Informaticae
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Based on scale space theory and an image normalization technique, a new feature-based image watermarking scheme robust to general geometric attacks is proposed in this paper. First, the Harris-Laplace detector is utilized to extract steady feature points from the host image; then, the local feature regions (LFR) are ascertained adaptively according to the characteristic scale theory, and they are normalized by an image normalization technique; finally, according to the predistortion compensation theory, several copies of the digital watermark are embedded into the nonoverlapped normalized LFR by comparing the DFT mid-frequency magnitudes. Experimental results show that the proposed scheme is not only invisible and robust against common signals processing methods such as median filtering, sharpening, noise adding, and JPEG compression etc., but also robust against the general geometric attacks such as rotation, translation, scaling, row or column removal, shearing, local geometric distortion and combination attacks etc.