Abstract

In this paper, a robust watermarking algorithm against geometric distortions and common signal processing is proposed. This algorithm is based on two method to solve the synchronization of the original watermarking images and test images in the wavelet domain watermarking. One method, which estimates rotation and scaling based on embedding a template in a circle of middle frequency in DFT, One method which estimates translation based on extracting an invariant centroid from a restricted area inside the image. In the embedding process, a watermark is embedded adaptively in low band of DWT domain, according to the conceal quality of Human Visual System (HVS).The experiment results show robustness against common signal processing attacks ,several geometric distortions and some combination attacks, Also the comparison with the prior algorithms shows the better performance of the proposed algorithm.

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