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The Study Of Digital Audio Watermarking Based On Wavelet Transform

Posted on:2011-07-01Degree:MasterType:Thesis
Country:ChinaCandidate:C A WuFull Text:PDF
GTID:2178330332471034Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
With the fast development of computer technology, the application of digital media is more and more extensive. But digital media are often suffering from malicious copy, deletion, modification and other illegal acts. Recently, Digital watermarking, serving as a kind of technology for copyright protection and information security, has become a research hotspot. Digital audio watermarking technology is to make watermarking information be embedded into the original audio data and extracted from the original audio data. At the same time, the quality of the original audio is not affected. In the area of copyright protection, information hiding and data authentication, the digital audio watermarking technology has found wide applications.In this paper, several digital watermarking models and in particular some digital audio watermarking algorithms are discussed, analyze the need to meet the design requirements and evaluation methods of the digital audio watermarking systems.At the base of analysis five classical watermarking algorithms and compare their advantage and disadvantage, an adaptive digital audio watermarking scheme in the hybrid domain is presented. In the algorithm implementation process: The multi-resolution characteristics of DWT and the energy-compression characteristics of DCT balance the contradictions of Non-auditory and robustness efficiently; Embed the space scrambled watermarks in space scrambled audio matrix to increase the invisibility of the watermark information; Got the threshold value of extracted watermark adaptively to ensure that the extracted watermark and the proportion of the original watermark black and white points basically consistent. Experimental results show that watermarked audio has both good non-auditory and anti-attack capability.
Keywords/Search Tags:audio watermarking, discrete wavelet transform, discrete cosine transform, adaptation
PDF Full Text Request
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