Attack modelling: towards a second generation watermarking benchmark
Signal Processing - Special section on information theoretic aspects of digital watermarking
Protecting Digital-Image Copyrights: A Framework
IEEE Computer Graphics and Applications
Scale & Affine Invariant Interest Point Detectors
International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Digital image watermarking using complex wavelet transform
Proceedings of the 2004 workshop on Multimedia and security
IEEE Transactions on Information Theory
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In this paper a new robust digital image watermarking method is presented. It is based on the Complex Wavelet Transform (CWT) and combines the image feature extraction. The goal is to resist both geometric distortion and signal processing attacks. The proposed method is performed in the spatial domain. By this, the original image is decomposed into four level of CWT decomposition. Every level of CWT decomposition is further separately reconstructed using the Inverse Complex Wavelet Transform (ICWT), in order to form its spatial representation (the channel). For the embedding purpose the channel of the fourth level of decomposition is selected. With the Harris feature detector the salient points of the fourth channel are detected and around the salient points a pseudorandom sequence used as the watermark is repeatedly embedded. Algorithm robustness is tested on the following attacks: JPEG, JPEG2000 compressions, geometrical attacks (rotation, scaling, cropping) and different filtering attacks carried out by using the benchmark software Checkmark.