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小波分析用于图像增强的研究MATLAB仿真

时间:2022-12-08 21:39来源:毕业论文
图像增强是图像处理领域的一个重要的分支,在外太空探测,医学X射线照片的应用上尤为明显。图像增强处理,主要包括图像的滤波,平滑,锐化和钝化四种处理方式

摘 要随着计算机技术水平的快速发展,以及各个领域对图像的质量要求越来越高,图像处理与生活和研究渐渐变得密不可分。图像处理技术发展到了前所未有的高度,而用于图像处理的小波分析方法也成为了学者们研究的热门方向。86541

图像增强是图像处理领域的一个重要的分支,在外太空探测,医学X射线照片的应用上尤为明显。图像增强处理,主要包括图像的滤波,平滑,锐化和钝化四种处理方式。

本文从传统的图像处理方法着手,引申出小波分析方法在图像处理方面的应用和研究。介绍了运用滤波器、灰度变换及直方图均衡化来实现图像增强处理的传统处理方法,逐一分析了连续小波变换和离散小波变换的原理,运用范围,及存在的优缺点,罗列几种常用的小波函数,并说明它们的特性;介绍小波分析方法中的阈值处理和小波包分析的原理;给出分别运用传统的图像处理方法和小波分析方法的图像处理方法,并以MATLAB作为平台,实现仿真验证,给出实验结果,分析各自图像处理方法性能,表明基于小波分析的图像增强效果要明显优于传统的图像增强处理方法。

毕业论文关键词:小波分析;图像增强;MATLAB仿真验证

Abstract With the development of computer technology and higher and higher requirements in other fields, image processing is closely connected to daily-life and research。 It is clear that the image processing technology is promoted to an unprecedented height, and the method that image processing of wavelet transform analysis attracts more and more scholars to study the hot direction。

Image enhancement is an important branch in the field of image processing。 It is particularly obvious that in the outer space exploration and the application of medical X - ray photo。 Image enhancement processing, mainly consists of image filtering, image smoothing, sharpening and passivation。

In this paper, from the traditional image processing methods, extended out of the wavelet analysis method in image processing applications and research。 Introduced to realize the image enhancement processing of the traditional processing method using filter, gray level transformation and histogram equalization, one by one analysis of the principle of continuous wavelet transform and discrete wavelet transform, scope of application, and the advantages and disadvantages, lists several common wavelet functions, and explain their characteristics; the principle of the wavelet analysis method of threshold processing and wavelet packet analysis; given respectively by traditional image processing method and wavelet analysis method of image processing method, and uses MATLAB as a platform, to realize the simulation, experimental results are given。 It shows that the image enhancement based on wavelet analysis is better than the traditional image enhancement processing method by analysising respective image processing method of performance。

Keywords : wavelet transform; image enhancement; MATLAB simulation

目录

第一章 绪论 1

1。1 研究背景 1

1。2 小波分析理论体系建立与发展 2

1。3 小波分析用于图像增强研究的现状与发展 3

1。4 本文主要内容 4

第二章 图像增强的基本原理和方法 5

2。1传统图像增强的处理方法 5

2。1。1 滤波增强 5

2。1。2 灰度变换增强 6

2。1。3直方图均衡化 小波分析用于图像增强的研究MATLAB仿真:http://www.youerw.com/tongxin/lunwen_107823.html

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