数字音频水印研究与系统实现

发布时间：2018-04-08 19:35

本文选题：数字音频水印　切入点：离散余弦变换(DCT)　出处：《北京邮电大学》2014年硕士论文

【摘要】：近十几年互联网技术快速发展,同时计算机也向微型化、集成化迈进,这些都给数字多媒体产品出版行业的发展带来了生命活力。但是与此同时数字产品又有易被复制、易被修改等特点,这又给数字产品的知识产权保护带来了困难,从而阻碍了数字多媒体产品出版行业的发展。数字水印由于有着信息隐藏的特点,可应用于数字版权保护,近十几年受到了学界和商家的高度关注。在数字音频产品的产权保护方面,音频水印可以通过对数字音频产品的不可感知的修改,将含有版权信息的数据嵌入到音频载体中,当发生版权纠纷的时候把版权信息提取出来,用以证明真正的版权所有者,这样可以有效的打击不法盗版者,保障数字多媒体产品出版行业在网络时代稳步发展! 本论文主要是从对数字音频产品的产权具有保护作用的鲁棒性水印研究出发,提出一种“基于自适应能量选择的奇偶量化盲水印算法”,设计并实现了一个可用于数字音频水印的嵌入和提取的软件系统。本论文主要工作如下：一、论述了本课题的研究背景和意义,介绍数字音频的基本特性和概念,分析了数字音频水印的常见分类、应用领域以及国内外研究现状,为后面提出应用在数字音频产品的产权保护方面的基于DCT域盲水印嵌入算法奠定基础；二、详细分析了数字音频信号的特点与人耳的听觉特性、对离散余弦变换进行数学分析并将它们在数字音频水印算法中的具体应用做了总结和对比分析,本部分为本论文提出“基于自适应能量选择的奇偶量化盲水印算法”做知识准备；.三、提出“基于自适应能量选择的奇偶量化盲水印算法”及其框架。在这一部分中着重分析了算法的理论基础、DCT系数奇偶量化设计的数学基础和基于分帧的自适应能量选择的设计思路；提出将音频信号分帧并自适应的选择在能量较大的部分帧中对DCT系数按照奇偶量化策略进行水印嵌入和提取的盲水印算法；四、详细阐述了“基于自适应能量选择的奇偶量化盲水印算法”的水印嵌入和提取的具体实现、实验仿真和实验总结；五、数字音频水印软件系统的需求分析,按照软件开发的瀑布模型详细分析了软件系统的需求,为系统设计实现做准备；六、数字音频水印软件系统的设计与实现,基于本文提出的算法使用“Visual Studio2008"开发环境设计并实现一个音频水印的嵌入和提取的软件系统。
[Abstract]:The rapid development of Internet technology in the past ten years, at the same time, the computer is also moving towards miniaturization and integration, which has brought life vitality to the development of digital multimedia product publishing industry.But at the same time, digital products are easy to be copied and modified, which brings difficulties to the protection of intellectual property rights of digital products, thus hindering the development of digital multimedia products publishing industry.Digital watermarking can be applied to digital copyright protection because of its characteristics of information hiding, and has been highly concerned by scholars and merchants in recent decades.In the aspect of property right protection of digital audio products, audio watermarking can embed the data containing copyright information into audio carrier by modifying the digital audio products inperceptibly.When the copyright dispute occurs, the copyright information is extracted to prove the real copyright owner, which can effectively crack down on the illegal copyright pirates and ensure the steady development of the digital multimedia publishing industry in the network era!Based on the research of robust watermarking which can protect the property rights of digital audio products, this paper proposes a "parity quantization blind watermarking algorithm based on adaptive energy selection".A software system which can be used to embed and extract digital audio watermarking is designed and implemented.The main work of this paper is as follows: 1. The research background and significance of this paper are discussed, the basic characteristics and concepts of digital audio are introduced, and the common classification, application field and current research situation of digital audio watermarking are analyzed.It lays a foundation for the application of blind watermark embedding algorithm based on DCT domain in the property right protection of digital audio products. Secondly, the characteristics of digital audio signals and the auditory characteristics of human ears are analyzed in detail.The discrete cosine transform is analyzed mathematically and its application in digital audio watermarking algorithm is summarized and compared.This thesis is divided into two parts: an adaptive energy selection based blind watermarking algorithm for parity quantization and knowledge preparation.Thirdly, an adaptive energy selection based blind watermarking algorithm for parity quantization is proposed.In this part, the theoretical basis of the algorithm is analyzed, and the mathematical basis of the parity quantization design of DCT coefficients and the design idea of adaptive energy selection based on framing are analyzed.In this paper, a blind watermarking algorithm for embedding and extracting DCT coefficients according to odd-even quantization strategy is proposed, in which audio signal is divided into frames and adaptively selected in the part of frames with high energy.The realization of watermark embedding and extracting based on adaptive energy selection for parity quantization blind watermarking algorithm, experimental simulation and experimental summary are described in detail. Finally, the requirement of digital audio watermarking software system is analyzed.According to the waterfall model of software development, the requirements of the software system are analyzed in detail to prepare for the design and implementation of the system. Sixth, the design and implementation of the digital audio watermarking software system,Based on the algorithm proposed in this paper, a software system for embedding and extracting audio watermark is designed and implemented by using "Visual Studio2008" development environment.
【学位授予单位】：北京邮电大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP309.7

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