Font Size: a A A

Research On Digital Audio Watermarking Technology

Posted on:2010-12-16Degree:MasterType:Thesis
Country:ChinaCandidate:M ZhangFull Text:PDF
GTID:2178360302959307Subject:Communication and Information System
Abstract/Summary:PDF Full Text Request
With the network technology and the rapid development of multimedia technology, digital watermarking technology for copyright protection has become an effective approach. Audio watermarking based on audio watermarking technology for the carrier, through the audio watermark embedding research on audio watermarking few studies. In this paper, binary image for the watermark information to audio data for the embedded object, the analysis of the characteristics of digital audio watermarking and audio signals on the theoretical basis, from the watermark can not improve detection and robustness, the watermark of existing algorithm, two digital audio watermarking algorithms.First, the existing audio watermarking algorithm for the lack of an effective synchronization technology, a discrete wavelet transform-based watermarking algorithm synchronization. Algorithm for the introduction of synchronous signals, the use of synchronous signal the location of embedded watermark positioning. Signal in order to improve the robustness of the watermark and the synchronization signals are hidden in the low-frequency coefficients in wavelet domain, the detection of the watermark without the original audio. The experiments show that the algorithm is robust and can not be perceived, and can withstand a variety of common attacks.Are two single audio watermarking algorithm against the limitations of a hybrid based on the DCT and DWT domain audio watermarking algorithm, the first of the original audio signals, discrete wavelet transform, the audio signal and the approximate weight of the fine component. And these two discrete cosine transform coefficients, and finally two different watermark is embedded into the two factors. When extracting the watermark information, regardless of how the length of the audio signal are used to transform the same way, experiments show that the method can not realize the frequency of the loss of audio signal information, in considering the embedded watermark sequence of two different principle, the implementation embedding and extraction of the synchronization information.Finally, the current research in the field of audio watermarking results, proposed algorithm problems and limitations of clear direction for future research work.
Keywords/Search Tags:Audio watermarking, wavelet transform, synchronization signal, robustness, discrete cosine transform
PDF Full Text Request
Related items