The Research On Audio Watermarking Algorithm For Copyright Protection

With the development of the internet and multimedia, the protection for the intellectual copyright becomes more and more urgent and important, meanwhile, the digital watermarking is the effective means to solve the intellectual copyright problems. Recently, research on the still image watermarking technology becomes more and more matured; while the research on audio digital watermarking is becoming a hot topic.With the two-dimension binary image as watermarking information, the audio data as embedded target, on the basis of analyzing the digital technological characteristic and demand of audio watermarking in detail, in order to enhance the imperceptible and robust of the digital watermarking, this paper discusses two new digital blind watermarking methods of audio for copyright protection.At one hand, there is the digital blind watermarking algorithm of audio based on discrete wavelet transform. First, the watermarking image has been processed by Arnold disorder transform, then converted it into a one-dimension sequence; Second, the audio data has been divided and discrete wavelet transform; Third, determine the embedding strength of watermarking adaptively according to the energy of the DWT approximate coefficient, and choose the even number of wavelet coefficient to embed watermarking. The times of the watermarking has been embedded repeatedly equal to the segments number of the audio has been divided. The watermark can be extracted without the original audio signal. This helps it to use in the actual project.On the other hand, it discusses the digital watermarking algorithm of audio based on cepstrum transform and discrete cosine transform. The algorithm increases the watermarking security by disordering the watermarking. The audio signal has been divided and cepstrum transform, and use the coefficient of cepstrum transform to discrete cosine transform. Embedding the watermarking on the low-frequency of the discrete cosine transform using quantization theory improves the watermarking's imperceptible and robust. .The watermarking can be extracted without the original audio. Compared with the methods based on cepstrum transform proposed in the most papers at present, the algorithm of this paper has better imperceptible and robust.The experimental result demonstrates that the watermarking is imperceptible and the algorithms are robust to many basic signal operations. The watermark can be extracted without the original audio. The blind watermarking detection has very good practical value.