摘要随着科学和信息技术的发展，数字图像处理已经渗入到人们身边的任意一个角 落。但由于图像的传输、转换等原因，可能会造成图像的降质、模糊、变形、失真或 者其他情况的图像的受损，从而导致降低了图像的科学性。图像增强技术和图像恢复 技术就是在这种情况下提出来的。图像增强的目的是按某种制定的要求采用特定方法 来突出图像中的某些特征信息或者削弱无关信息。图像恢复技术是从分析图像退化机 理入手，然后在退化模型的基础上，通过求其逆过程的模式计算，从退化图像中较准 确地求出真实图像，恢复原始图像。图像恢复技术不仅能改善图片的视觉效果和保真 程度，还有利于后续的图片处理。83386

本论文主要简单介绍了图像增强的四种算法（直方图均衡化、直方图规定化、低 通滤波和高通滤波）和图像恢复的两种算法（逆滤波恢复法和维纳滤波恢复法），同 时还对这几个算法进行了讨论和研究。然后通过对比实验结果，分析各个算法的原理、 优缺点以及适用的情况。最后使用 MATLAB 中的图像用户界面 GUI 设计系统，在用户 界面中添加控件和程序代码，从而完成整个系统。

毕业论文关键词：数字图像处理；GUI；图像增强；图像恢复；算法

Abstract With the development of science and information technology, digital image processing has penetrated into everywhere。 However, image transmission, conversion and  other factors may cause degradation , blur, deformation, distortion of the image or other damage to the image of the situation, resulting in a decrease of scientific graphics。 Image enhancement and image restoration technology is put forward in such a case。 The purpose of image enhancement is to enhance the image by using a certain specific requirements established method to highlight certain features in the image information or weaken irrelevant information。 Image restoration technology starts from the analysis of image degradation mechanism, and then on the basis of the degradation model,accurately determine the real image from the degraded image by solving the inverse process model calculations, which restores the original image。 Image restoration technology can not only improve the image of the visual effects and the degree of fidelity, but is also beneficial to the subsequent image processing。

This paper introduces the four image enhancement algorithm (histogram equalization, histogram specification, low-pass filtering and high-pass filtering) and two algorithms of image restoration (inverse filtering and Wiener filtering restoration act), There  are  also some of other algorithms are discussed and studied。 Then compare the experimental results, analyze the principles of various algorithms, as well as the advantages and disadvantages, scope of application。 Finally, use the MATLAB graphical user interface (GUI) to design systems, and add control codes in a graphical user interface, thus complete the  entire system。

Key words: digital image processing; GUI; image enhancement; image restoration; algorithm

目录

第一章 绪论 1

1。1 引言 1

1。2 研究背景和意义 2

1。2。1 研究的背景 2

1。2。2 研究的目的和意义 2

第二章 数字图像处理概述 4

2。1 数字图像处理简介 4

2。2 数字图像处理技术 4

2。2。1 数字图像处理的特点 4

2。2。2 数字图像处理的主要内容 MATLAB图像增强及恢复系统设计:http://www.youerw.com/zidonghua/lunwen_98301.html