Research Of The Audio Digital Watermarking Technology Based On Wavelet And Cepstrum Coefficients

Today, in an era of rapid development of the Internet, we has long been limited to the purchase of a tape and CDs to listen to music. More often, we download music through the Internet. Although the Internet has brought us a lot of convenience, but also pose the music file copyright protection problem. A highly developed Internet, especially the mobile Internet has become so popular in recent years. Now, under the Internet, it increasingly easy for people to download, copy and modify the music file in anytime, in anywhere.So how to protect these legitimate copyright music is becoming increasingly urgent and important.Under such a background, audio watermarking technology came into being. And through the development of a long time, researchers have presented a lot mature algorithm. Some’of these algorithms have good robustness, and some algorithms imperceptible done better. Because the wavelet transform and cepstrum are very suitable analysis tools for audio signal, in recent years has been widely used in audio watermarking. And analyze the existing audio watermarking algorithm, summary advantages and disadvantages of existing various audio watermarking algorithm. Hence discovered deficiencies of the existing audio watermarking algorithms and worthwhile improvement. Then start for algorithm research combines the advantages of wavelet transform, cepstrum transform and zero-watermarking technology, the main, contents are as follows:1) Introduces the audio digital watermarking technology, wavelet transform, cepstrum, zero watermarking technology, as well as the current status of research.2) Combines the advantages of wavelet transform and cepstrum transform, proposed a based on wavelet and cepstrum coefficient audio blind watermark algorithm. The algorithm extracts the low-frequency coefficients of the third layer discrete wavelet. And then cepstrum transform the low-frequency coefficients, embedded watermark information on the get cepstrum coefficients. Through the experiment proved that under the various common attack this algorithm has good robustness. However, the performance of the algorithm is still room for improvement.3) In order to take into account both of the robustness and imperceptibility, also to further improve the robustness of the watermark. Bring in the zero-.watermarking technology and mean comparison method, this paper presented an audio zero-watermarking algorithm based on wavelet and cepstrum coefficients mean comparison. The algorithm by comparing the relationship between the mean cepstrum coefficients to constructed zero-watermark. The simulation results showed that the algorithm had very good robustness under common attacks and anti-AD/DA. And also the algorithm adopts the real cepstrum transform, greatly reduces the computational complexity.Finally, summarize the whole work, and analyze the shortage and improvement of the two algorithm proposed in this paper. Also prospects the further research work.