The Research And Implementation Of Digital Audio Watermarking Technology Against Desynchronization Attacks

Currently, multimedia data have become wide-spread via the internet, and become the main source of people access to information. It may be that the ease with which perfect copies can be made will lead to large-scale unauthorized. Intellectual property rights protection and authentication become increasingly become more and more important. Copyright protection has become an urgent issue of digital world. As an effectively complementary means of traditional encrypt methods, digital watermarking is a new technology of copyright protection, authentication resources and integrity under environment of open networks. In recent years, digital audio watermarking technique becomes an internationally hot topic at present.Firstly, this paper introduces the history, development and some related concepts of digital watermarking, which elucidates a significance background of the research. Secondly, introduces an overview of the digital audio watermarking technology, and the main application fields of audio watermarking, characteristics and typical embedding algorithms. Then introduces the basic knowledge points and according to the synchronic problem, two kinds of audio watermarking algorithms are present.1. A robust audio watermarking based on pseudo-Zernike moments. Here, we propose a strong robust digital audio watermarking algorithm based on the pseudo-Zernike moments and synchronization code. The watermark bit is embedded into the average value of modulus of the low-order pseudo-Zernike moments. Meanwhile combining the two adjacent synchronization code searching technology, the algorithm can extract the watermark without the help from the original digital audio signal.2. A robust audio watermarking based on the higher-order statistics characteristics. Based on the synchronization code and combined with higher-order statistics, a strong robust digital audio watermarking algorithm is proposed. By using the Hausdorff distance theory, we get the higher-order statistics of the audio signal. Finally, the watermark bit is embedded into the original digital audio signal wavelet domain by using higher-order statistics.Simulation results show that the proposed watermarking schemes are not only robust against common signals processing, but also robust against the desynchronization attacks...