【作者】 蒋亚军；

【导师】 朱理； 黄淑云；

【作者基本信息】 湖南大学 ， 控制工程， 2005， 硕士

【摘要】 数字图像是最重要的信息媒体之一，它具有直观、生动和内涵丰富的特点。但是，由于数字图像的数据量非常之大，这给图像的存储，传送和处理都带来很大困难。解决这一问题最常用的方法是进行数字图像压缩编码，在保证图像质量的前提下，最大限度地降低图像的数据量，以减少数据存储量，节约传送和处理的时间。小波分析以其良好的局部性特征为数字图像压缩编码带来了新的工具，使得这一领域充满了生机。 本论文对小波变换在数字图像压缩编码的应用，作了较为深入的研究和探讨。 第一章首先介绍了本论文的研究背景，指出当前进行图像压缩的重要性，并对本文所作的工作进行了简要地介绍。 第二章中，主要介绍了小波变换、小波包的原理，讨论了多分辨分析的原理，并对快速小波变换——Mallat算法作了介绍。基于小波变换、小波包原理，讨论了如何将小波变换、小波包用于图像的分解和合成。 第三章主要介绍了图像压缩编码的基本理论。包括图像压缩编码的基本原理、分类与压缩标准，以及如何进行压缩图像质量的评价。 第四章研究如何将小波变换应用于数字图像压缩编码。结合图像小波变换的特点，提出一种符合人类视觉系统特点的基于小波变换的混合编码算法，同时对算法的实验结果进行了分析和比较。实验结果表明，与传统的图像压缩方法相比，本论文所提出的算法较好地解决了既保证压缩图像质量，又使得压缩图像大小满足使用的要求。 第五章将基于小波变换的图像压缩理论应用于虚拟现实场景中的贴图处理，提出一种基于小波变换的分级压缩算法，以及如何解决动态场景中各级图像间的平滑过渡问题，从而降低虚拟现实系统的负荷，提高图像实时显示的速度。更多还原

【Abstract】 Digital image is one of the most important the media of the information, which has directly perceived, vivid characteristic with abundant intension. However, because digital image’s datas are numerous, it gives image storage, image transmission and image processing very great difficulty. A commonly used method to carry on this problem is digital image compression coding which, based on the premise that guarantees the quality of the image, reduces the data quantity of the image to the maximum extent, in order to reduce the amount that stores data, economizes transmission and processing’s time. The good character of localization on wavelet transform bring a new method of digital image compression coding, it make this field full of vital force.This paper has deeply researched and discussed the applications of wavelet transform in digital image compression coding.In chapter 1, the task background of this paper is introduced first and the importance of image compression at present is pointed. The task that has been accomplished in this paper is also introduced.In chapter 2, the theory of wavelet transform and wavelet packets is mainly introduced. Then, the theory of multi-resolution analysis is discussed, and the fast wavelet transform—Mallat algorithm is introduced. Based on the theory of wavelet transform and wavelet packets, how to realize image analysis and synthesis by wavelet transform and wavelet packets is discussed.In chapter 3, the technology of image compression coding is mainly introduced, including the foundation theory and the classifying standard of image compression coding, and how to appraisal the quality of the compressed image.The chapter 4 has studied how to realize digital image mixing compression coding by wavelet transform, and puts forward a mixing coding algorithm based on wavelet transform accord with the systematic characteristic of human vision, and analyzes and compares the algorithm’s experimental results. The experimental results shows: Compared with the traditional image compression ’s method, the algorithm that this paper puts forward has guaranteed compression image’s quality well, and makes compression image’s size meet used demand.The chapter 5 applies image processing theory based the wavelet transform to the image processing in the virtual reality scene, puts forward a scalable compressing algorithm based the wavelet transform, and solves the smooth transition of the scalable image in the dynamic scene. The algorithm solves reducing the load of virtual reality system, raising the speed that the image shows in real time.更多还原