基于MATLAB的数字图像处理系统的研究毕业设计论文.doc

东北石油大学本科生毕业设计（论文） PAGE \* MERGEFORMAT II 摘 要 数字图像处理是近几年来新兴的研究领域，受到越来越多的学者的高度重视。因为图像在生成、传递、压缩、储存、变换等诸多过程中，会受到不利成分的影响。比方分别在不一样的照明情况下操作，会引起图像亮度的转变；操作设备时，不可避免地会发生抖动，这样做的话就会引起图像位移；捕获到的图像对比度较低或是位置不契合等等。所以想要获得清晰的图像就要对图像进行数字图像的处理。 本文主要从图像增强、图像复原、图像编码的Matlab仿真以及GUI板块的设计四个角度进行研究。在本文中图像增强主要深入讨论了使用灰度变换函数去拉伸图像的对比度，使用直方图均衡化去合理分配图像的灰度，使用空域滤波和频域滤波使图像变得越发清晰。图像编码主要简述的就是编码冗余、空间冗余以及不相关信息，通过以上图像编码的三种方法可以减小图片的冗余度和加大数据压缩比等等。图像复原主要概述的是维纳滤波、最小二乘法滤波以及L-R滤波三种滤波方法，这三种滤波方式可以达到过滤掉图像中模糊部分的目的。 通过可视化界面达到了将以上三种图像处理方法结合在一起的目的。在GUI界面中，只要选定一种处理方式并按下“开始”按钮就能够执行相应的处理方法，而且会同时得到原始图像与处理后的图像。 关键字： 图像增强；图像压缩；图像复原；Matlab;GUI Abstract Digital image processing is the emerging research field in recent years, by more and more scholars attach great importance.Because the image in the generation, transmission, compression, storage, transformation and many other processes, will be affected by the adverse effects.For example, in the case of different lighting operations, will cause the image brightness changes; operating equipment, it will inevitably jitter, so it will cause image displacement;The captured image is low or the position is not fit and so on. So you want to get a clear image of the image is necessary to digital image processing. This paper mainly studies image enhancement, image restoration, Matlab simulation of image coding and GUI design.In this paper, the image enhancement mainly discusses the contrast of using the gray scale transformation function to stretch the image, and uses the histogram equalization to rationally distribute the gray scale of the image. The use of spatial filtering and frequency domain filtering makes the image become more and more clear.Image coding is mainly described in the coding redundancy, spatial redundancy and irrelevant information, through the above image encoding of the three methods can reduce the redundancy of the picture and increase the data compression ratio and so on.Image restoration is mainly summarized in the Wiener filter, least squares filterin