Watermarking Detection Base On Synergetic

With the popularization of Internet and the development of multimedia technique, the digital media has become a more popular and convenient way for information communication along. However, the characteristics of digitization bring significant changes in copyright issues. The digital watermarking technique has been more and more important to protect copyright. However, the watermarking in the multimedia could not distinguish and recover against lawless and the network noise. Watermarking Detection and recovered create an urgent need to intellectual property protection on the digital multimedia. First, we discussed the background. And then, Embedding-detecting model and basic framework of digital watermarking are introduced. Firstly this paper present a scheme for Watermarking detection based on synergetic, which have been tested in the Watermarking algorithms in Spatial and Transform Domain. The experimental results demonstrate the effectiveness, robustness and revering the scrambling watermarking against several image degradations and watermarking attacks. Secondly, This paper presents a watermark restoration algorithm based on synergetic associational neural net. It employed synergetic computer theory to improve the robustness of the watermark for the most watermarking attacks. Thirdly, finding Aimed at image watermark robustness, an evaluative method based on synergetic and its usage was first advanced. The experimental results demonstrate practicable. Finally, the character of video digital watermark and the current technical method are discussed .It introduces in detail the features of H.264. The one way as video watermark embedding scheme based on H.264 is produced. Watermarking system is implemented .the experiment result shows that the scheme is robust.