Research Of Digital Audio Watermarking Algorithm Based On Cepstrum Analysis And Wavelet Transform

This paper takes visual binary image as watermark information, it is on the basis of the analysis of both the digital technical characteristics and the demand of audio frequency watermark, combines the characteristic of cepstrum transform and the wavelet transform to enhance the imperceptibility and robustness of the digital watermarking, and sets an improvement of the exist algorithm. It researches two kinds of frequency domain digital audio blind watermarking robust algorithm for copyright protection.Firstly, there is an improvement in the embedding process of the existing algorithm—the sigital audio blind watermark algorithm which is based on the statistical mean of cepstrum domain. In the pre-process of embedding, both chaos encryption sequence and repletion code (a kind of simple error-correction code) are used to improve the security of watermark information and robustness of digital watermarking. This paper uses 5 times repetition codes for the correction of the watermark.Secondly, in order to improve the robustness of the digital audio bland watermark algorithm, this paper discusses the feasibility of substitute the complex cepstrum transform of twain transform, which are combined by discreet wavelet transform and complex cepstrum transform, on the basis of introducing the repetition code of digital audio bland watermark algorithm based on cepstrum transform. The discreet wavelet transform has the characteristic of multi-resolution and the cepstrum transform is excellent with the ability of de-correlation, and most of their mean of coefficient are around zero. The paper combines the advantages of them, and uses the low frequency weight of discreet wavelet transform to make complex cepstrum transform, and then in return the coefficient of the cepstrum transform is used to embed information in the digital watermarking, thus raise the performance of digital watermarking algorithm. There are a lot of imperceptible and robust experiments for both the two kinds of better algorithm. The experimental results show that both of the tow audio watermarking algorithms have well not awareness and robustness. In general, the introduction of repetition coding strengthened algorithm's resistance against common signal attack, such as noise pollution,low-pass filtering and so on.