Robust image watermarking scheme based on HVS and fractal self-similarity
Xingyuan Wang · Jisuanji gongcheng yu sheji · 2010
A novel image digital watermarking algorithm based on the fractal self-similarity is presented. The proposed scheme considers the features of human vision system (HVS) very richly. By dealing with the original image,the texture domains are separated from the original image firstly. Then using the theory of local iterated function systems,the texture image's encoding and decoding are achieved,meanwhile,the embeding and extracting of the watermarks is finished. The original image is not required for detecting the watermarks and using the statistical method improves the veracity. Simulation results show the superior performance of the methods and demonstrate the robustness against such signal distortion as JPEG compression,low pass filtering,additive noise,scaling and so on.