网学网为广大网友收集整理了，一种鲁棒性数字水印系统的设计与实现，希望对大家有所帮助！
论文字数:15513,页数:38 有开题报告，任务书
摘要
计算机网络和通信技术的迅猛发展，使得数字信息的产生、复制、传播更为容易。在这个背景下，如何防止具有版权的数字数据在未经允许的情况下，被非法的使用或是传播，这就提出新的研究的课题：就是如何运用现有的理论和技术，更好的解决数字产品所有者的合法权益的保护问题。数字水印技术就是在这样的背景下诞生的。
本文就基于离散小波变换的数字水印技术做以下的工作：（1）对数字水印的概念、框架、分类及应用做一个简要的介绍；（2）简单回顾一下水印嵌入策略核心小波理论，并着重介绍多分辨分析及Mallat算法；（3）简要介绍人类视觉感知系统（HVS），讨论其在水印嵌入过程中的作用；（4）设计并实现基于小波变换与人类视觉系统的水印嵌入算法；（5）通过各种常见攻击验证系统的鲁棒性，证明该水印系统对于常见攻击具有鲁棒性并且保证水印的不可见性。最后总结所做工作并指出不足之处。
关键词：数字水印，离散小波变换，人类视觉系统
Design and Implement of a robust digital watermarking system
Abstract
The revolution in digital technology has increased the case of manipulation, reproduction, retransmission, and distribution of digital images. However, it also offers the potential for illegal use, known as a piracy of digital images. Consequently, the need to manage and protect these digital properties has become crucial. Watermarking technology is considered as an alternative tool for protecting these intellectual properties. It attempts to identify the true owner by hiding perceptually invisible information (watermark) inside the digital data. In this thesis, for the purpose of protecting the Intellectual Property Rights (IPR) of digital images, a Discrete Wavelet Transform (DWT) based digital watermark algorithm is described. The proposal is designed for images.
The key points of research addressed in this proposal include: (1) The structures of watermark being embedded that enhance the perceptual invisibility and watermark detection efficiency. (2) Watermark embedding strategy. For instance, watermark embedding function and watermark embedding parameters (weighting function-embedding energy, embedding level and spatial location), which maximize the robustness and invisibility of the watermark. (3) The possibility of using Human Visual System (HVS) in the Watermark Embedding Process (WEP). (4) The Watermark Detection Process (WDP), especially, the reliability of the proposed watermarking algorithm after distortion by several kinds of watermark attacks. (5) The robust watermarking protocol for proving ownership.
Key word: Digital Watermarking, Discrete Wavelet Transform, Human Visual System
目 录
1绪论 1
1.1 课题研究的背景和意义 1
1.2 国内外研究状况 1
1.3 本文的结构与内容 3
2 数字水印概述 5
2.1 数字水印的基本框架 5
2.2 数字水印的技术特点 7
2.3 数字水印分类 8
3 小波分析及其应用 12
3.1 引言 12
3.2 小波的发展历程 13
3.3 小波变换 14
3.3.1 连续小波变换 15
3.3.2 离散小波变换 16
3.3.3 多分辨分析 16
3.4 Mallat算法及应用 19
4 基于HVS与DWT的数字水印系统的设计与实现 21
4.1 HVS模型简介 21
4.2 水印嵌入位置的选择 22
4.3 水印嵌入强度的计算 22
4.4 本文算法的具体实现步骤 24
4.4.1水印的嵌入算法及步骤： 24
4.4.2水印的提取算法及步骤： 24
4.5 鲁棒性测试 24
4.5.1 JPEG压缩攻击 25
4.5.2增强处理攻击 27
4.5.3附加噪声攻击 27
4.5.4测试结果分析 29
总结 30
致谢 31
参考文献 32
