Research Of Adaptive Audio Digital Watermarking Algorithm Based On Discrete Wavelet Transform

With the computer network technology and digital technology worldwidepromotion and use, digital watermarking becomes very popular on the network. Tosolve copyright protection problem, a new technology—audio digital watermarkinghas been found to be a promising solution. In order to protect or authenticate thedigital audio, a mark with special meaning is embedded into the audio, withoutaffecting the quality of the audio.First of all, this paper elaborates the audio digital image watermarking researchbackground, significance and the situation at home and abroad. Then, it introduces therelevant technical overview of the audio watermarking, basic knowledge of audio,basic algorithms, evaluation standard, attack methods and the testing process. Then,the paper introduces the wavelet transform, which lay the foundation for the researchof this paper.On that basis, this paper firstly presents an adaptive blind digital audiowatermarking algorithm based on Audio Features. The watermark data is encryptedby Logistic chaotic binary sequence, and the algorithm analyses the zero-cross ratioand the short-time energy of frame to choose the audio frames to embed thewatermark. Each frame to embed the watermark is decomposed by wavelet transformafter integration and piecewise. At the same time, the algorithm uses the energydynamic adjust adaptively method.It estimates the weight average energy of eachsection of the audio and adds based embedding strength.Otherwise, the paper also presents an synchronic adaptive audio digitalwatermarking algorithm based on DWT. It uses the idea of synchronic signal,embedding synchronic signal and watermark in the low frequency of DWT, at thesame time, the algorithm also uses the energy dynamic adjust adaptively method.The two watermark extraction do not require original audio signal. The resultsshow that they have good robustness and imperceptibility, and have a practicability.