Research And Realization Of The Digital Audio Watermarking Scheme

Audio productions are one of the important digital multimedia, which transmit become more and more and more convenient. To prevent the multimedia content from being stolen or illegally used, audio content protection techniques become increasingly important so that the potential of these application can be reached. As the important method of copyright protection, the digital watermarking technology has acquired widely recognition and research.This research dissertation selects audio as embedding object. The main work and contributions of the dissertation are as follows:(1)Firstly applied the idea of chaos and cellular automata to the audio signal watermark, presenting a Digital Audio Watermarking Scheme Based on Chaos and Cellular Automata. The watermark engendered by chaos and cellular Automata has good statistic property, such as stochastic property, ergodicity property etc and security.(2)Presenting Audio Watermark Blind Detecting Based on Fast Transverse Filter (FTF) Adaptive Algorithm. So far, there are three problems in most watermark detecting algorithm,①non-blind detection, the process of watermark detection needs original audio signal.②symmetrical watermark algorithm: that is the process of watermark embed is contrary to the process of watermark detection,③the effect and the performance of watermark detection in the same type detecting algorithm are not good and unstable. In order to solve the three problems above, we present a new watermark-detecting algorithm based on FTF. We can make use of adaptive filter principle to detect watermark blindly.( 3 ) Presenting Digital watermarking embedding algorithm based on quantization in low-frequency in DWT domain. It is a pop method to embed watermark in frequency field, in most literature, they embed watermark into the coefficients of FFT, DCT, or high-frequency of DWT using quantization method,we think that:①Embedding watermark into the low-frequency of audio signal DWT field can improve the robustness of watermark.②The watermark is embedded in the maximum of subsection of approximate component the watermark signal using quantization method, for the same quantization size, the"noise"added to the signal is...