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The Research and Implementation of Digital Audio Watermarking Technology Against Desynchronization Attacks

Author: MaTianXiao
Tutor: WangXiangYang
School: Liaoning Normal University
Course: Computer Applications
Keywords: Audio Watermarking Pseudo-Zernike moments Higher-order statistics characteristics Hausdorff distance Desynchronization attack
CLC: TP309.7
Type: Master's thesis
Year: 2010
Downloads: 49
Quote: 1
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Abstract


In recent years, with the development of Internet technology, multimedia data widely disseminated, become the main source of people's access to information. To ease may lead to large-scale unauthorized \In addition to the traditional approach to copyright protection information is encrypted, digital watermarking technology as effective supplement, is an open network environment for copyright protection and authentication and integrity to prove the new technology in recent years, to get people's attention and become a hot research at home and abroad. This paper first introduces the history, current situation and development of the digital watermark the research, described the research background and significance. Secondly, the digital audio watermarking technology overview, the main application areas for digital audio watermark, the characteristics of typical embedded algorithm. Then used the basics of point according to the the desynchronization given two different audio watermarking algorithm. Digital audio watermarking algorithm based on pseudo-Zernike moments, the theory of pseudo-Zernike moment and synchronization code based on a new strength and robustness of digital audio watermarking algorithm. The algorithm first original audio carrier is divided into audio data segment, and each of the audio data segment is divided into two parts before and after; then the synchronization code embedded in the front portion of the audio data segment; then the rear portion of the audio data segment is mapped into two-dimensional form, and calculate its pseudo-Zernike moments; Finally, the digital watermark is embedded into the low-level pseudo-Zernike moments within the mold mean. Combined with adjacent synchronization code search technology, blind digital watermarking detection. Digital audio watermarking algorithm based on higher-order statistics features, the introduction of high-level statistical characteristics of the digital audio watermarking technology. Firstly, the original audio denoising processing, audio denoising; then denoising before and after the two audio carrier corresponding divided into audio data segment, and each of the data before and after the segment is divided into two parts; then the synchronization code is embedded into the first part of the original audio data segment; seeking a distortion measure Hausdorff distance then the latter part of the audio data segment, and then get the higher-order statistics characteristics using this feature watermark is embedded into the wavelet domain of the original audio. The experiments show that the proposed two methods to meet the robustness and imperceptibility, and has good resistance to desynchronization attack capability.

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