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Digital audio watermarking algorithm based on transform domain

Author: LiHuiHuan
Tutor: RenKeQiang
School: Jiangxi University of Technology
Course: Applied Computer Technology
Keywords: Digital audio watermarking Discrete Wavelet Transform Discrete Cosine Transform Large - capacity audio watermarking Dual audio watermarking
CLC: TP309.7
Type: Master's thesis
Year: 2010
Downloads: 142
Quote: 1
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Abstract


With the popularity of computers and the Internet, the digital products and widely disseminated, the society has entered the information technology, the digital era, digital audio as an important part of the digital product are profoundly affect our lives. The development of digital technology and the wide application makes it began to focus more attention on the protection of the security of digital products, digital audio watermarking technology to solve the digital audio protection of property rights and the security of an effective way, and has gradually become a hot research today . Digital audio watermarking algorithm can be divided into the time domain algorithms and transform domain algorithm two categories, due to poor time-domain algorithm robustness, by changing the audio signal in the frequency domain coefficients to hide the watermark usually has better robustness The research direction is mainly concentrated in the transform domain. Digital watermarking technology related to image, audio processing algorithms, mathematical calculations, the use of a high-performance scientific and engineering computing software necessary the Matlab software provides image processing, wavelet analysis, digital signal processing toolbox, it is research and effective tool for digital audio watermark technology. This paper discusses the digital audio watermarking technique focuses on transform domain-based digital audio watermarking algorithm, based on the different types of embedded watermark, two watermarking algorithm design. The full text of the main work and research are as follows: ⑴ expounded the meaning and background of the subject, describes the knowledge of the digital audio watermarking technology and existing audio watermarking algorithm analysis and comparison. ⑵ design a high-capacity digital audio watermarking algorithm based on DWT and DCT. The algorithm uses the Arnold transform, discrete cosine transform preprocessing color watermark image; human hearing characteristics and the audio masking effect, using wavelet transform to decompose the original audio signal using the overall method of modifying the wavelet coefficients, the watermark information \wavelet components uniformly embedded audio, strengthen the stability of the watermark; extracted with an audio watermark value volatile due to the presence of rounding errors, the algorithm uses a simple and efficient way, it can be accurately extracted from a set of numeric watermark value. This algorithm can be embedded watermark image type, and provides a solution for large capacity watermark algorithm. ⑶ designed based DWT double figures blind audio watermarking algorithm. Wavelet decomposition of the audio human auditory characteristics distinguish very consistent, the watermark information is embedded into the different components of the wavelet watermark perceptual transparency and robustness of watermarking algorithm performance is not the same when audio attacked. Accordingly, the use of re-embedded watermark embedded watermark information to enhance the ability to protect the audio after the four wavelet transform high-frequency and intermediate frequency component by double watermark against different types of attacks. The extraction of the watermark without the original watermark, blind detection. ⑷ built experiment platform, using matlab simulation experiments to detect the watermark algorithm performance. As can be seen from the experimental results, two digital audio watermarking algorithm can meet watermark security and perceived transparency requirements, and can effectively resist filtering, resampling, noise, compression and other common attacks, has better robustness sex.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > General issues > Security and confidentiality > Encryption and decryption
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