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Improvement And Research On Audio Digital Watermarking Algorithm Based On Auditory Frequency Masking

Posted on:2015-03-28Degree:MasterType:Thesis
Country:ChinaCandidate:D PanFull Text:PDF
GTID:2298330431499393Subject:Information and Communication Engineering
Abstract/Summary:PDF Full Text Request
Abstract:The enormous development of the Internet makes data exchange and transmission becomes faster, especially the audio file on the Internet in the multimedia data makes a very important position. Because it can be easily acquired on the Internet, and then its side effects are also very obvious. By using the Internet to copy and distribute of pirated music seriously, through network transmission data file or works have malicious individuals or groups may be under without seeking permission from the owner works to copy and distribute copyrighted content resulting in serious consequences. To protect the copyright issues in digital audio, digital audio watermarking technology is invited, it does not disturb the sound effects of carrier audio file, and makes the certain unique label the audio of the author’s watermark embedded into audio files, when a copyright dispute, it can test or extracted by the method of when the embedded watermark information used to prove all the owners of the audio file.At first, this paper introduces the related theory of digital watermark technology, including the basic principle of digital watermarking, the basic characteristics of the audio signal and the technical features of the digital watermarking. Then, this paper introduces the basic principle of wavelet analysis and its classical audio watermarking algorithm, and by using the principle of human ear auditory masking effect, the wavelet analysis of the traditional audio watermark transparency and robustness of the algorithm was improved, and propose a new kind of based on auditory masking effect of digital audio watermarking algorithm and wavelet transform.Finally by solving the various formats causes the phenomenon of audio file’s watermarking embedding becomes complex and complicated, this paper proposes a segments’ DCT (discrete cosine transform) based on improved multiple formats of audio watermarking algorithm. First adopted FFMEPG source program to complete the audio format conversion, and make the unification of format, watermark embedding strategy is based on block DCT domain embedded energy level, for all kinds of audio attack and block DCT domain energy’s feature and the different intensity of watermarking embedding enhance the robustness of the watermark.
Keywords/Search Tags:digital audio watermarking, human auditory masking, wavelet packet transform, multi format, quantization, discrete cosinetransform
PDF Full Text Request
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