Research On Optimized Digital Watermarking Algorithm Based On Phase-space Wavelet Analysis

Pan In the recent years of the explosive development of network computer application, the related applications of digital watermarking in the image copyright protection has wide applications. Because of using digital watermark method, we can add the hidden information of rights into the digital image needed to protect, and without breaking the eye visual effects. By this way, when the digital image issues produced, we can show hidden information to solve the problems of the copyright of digital image in a reasonable way.While for the present the joining technology of digital watermarking, the existing relevant methods have their own unique properties. Among them, the watermark embedding method based on wavelet transform has higher effectiveness and robustness, so it can be based on this, further to optimize the watermark embedding method based on wavelet transform and improve, make it has better properties.Because of the insufficient of the expression of the characteristics in frequency domain of the existing wavelet analysis based on European space, it doesn’t have the description of the "direction" of the signal in phase space, only use European space will produce a degree of loss of the frequency domain characteristics of the signal. In view of the advantage of the phase space, from the perspective of the phase space and use the wavelet watermarking embedding algorithm to make digital watermark embedded into the digital image effectively. On this basis, this paper expounds the concept of phase space and the related characteristics of the phase space. Design a wavelet optimization algorithm based on phase space, and applies the algorithm in the subsequent experiment section.In the later part of the experiment link, by contrast before and after optimization of the two different arithmetic of the test results of different pictures, it demonstrates that the proposed optimization algorithm has better properties. Based on the related experimental results in fidelity, effectiveness and robustness of the adaptive optimization algorithm of this paper, it has carried on the reasonable evaluation. From the results, in this paper, the design of the optimization algorithm to the traditional wavelet watermarking embedding algorithm is effective alternative, to achieve the purpose of this study.