Application Of Wavelet Transform Coding In Music Copyright Information Research

With the rapid development of the global Internet and digital multimedia technology and the popularity, people are getting used to draw the necessary information from the network. Meanwhile.the problem of piracy in multimedia data is becoming increasingly prominent with downloading, altering and spreading multimedia data in the network. Researchers propose a digital watermarking technology in order to solve the problem of copyright protection and safety certification, such as graphics, audio, video and other multimedia data, it can effectively inhibit the infringement of multimedia data. In view of the music works copyright protection problem, thesis selects audio watermarking as research content, combining wavelet transform coding theory. The main research content and innovation points of paper are as follow:1. The paper researches a kind of additive embedding algorithm by the discrete wavelet transform,embedding watermark information firstly.The method is simple and show some robustness In the face of a variety of attacks. Arnold scrambling is used to reduce the coupling between the watermark image when the watermark is preprocessing.and finally this paper discusses the the influence of different wavelet basis function on the watermark transparency.2. For additive embedding audio watermarking algorithm can not achieve the blind extraction and watermark’s weak security and robustness, an improved algorithm of wavelet transform coding, named a audio watermarking algorithm based on chaotic-modulation and dual-transform-domain, is proposed on the basis of the above algorithm. Using Logistic chaotic sequence to modulate the watermark signal after reducing the dimensionality, combining with the multi-resolution capabilities of discrete wavelet transform and the energy-gathered features of discrete cosine transform, watermark information is embedded in the Audio carrier by modifying the intermediate or low frequency coefficient in dual-transform-domain. The simulation results show that improved algorithm owns better safety and robustness performance.3. A audio watermarking algorithm based on chaotic modulation and dual transform domain, makes Logistic chaotic sequence to modulate the watermark signal after reducing the dimensionality. Just only complete demodulation key is provided, the watermark information can be extracted in the watermark extraction, and the original audio signal is not needed. This paper not only study and discuss some common attack methods, but also introduces some techniques such as spectral subtraction noise cancellation, linear predictive coding on testing the watermark robustness. Simulation results show the watermark of the improved algorithm performances a good robustness in the different styles of music as a carrier signal after attacking.