图像增强方法的研究(任务书,开题报告,论文15000字)
摘 要
随着现实生活的需要，图像增强在图形处理领域扮演着越来越重要的角色，图像增强效果的好坏直接影响着工作质量和视觉体验。本文研究的主要内容是具体的增强法及其实现，传统图像增强方法、基于小波变换的图像增强都在研究范围之内。频域和空域增强法是图像增强的两个大类，其中频域增强是将图像进行一定的空间转换从而对图像进行图像增强处理再变换为原图像从而达到图像增强的目的，是一种间接增强方法，空域法主要是从像素出发对图像像素进行调整。
本文通过MATLAB基于传统的图像增强方法进行的图像增强的仿真均取得了一定的成果，包括改变对比度、直方图变换、空间域滤波等方法，但仍然有不足的地方。为了提高图像增强的效果，本文进一步深入研究了基于小波变换的图像增强法，详细介绍了小波变换的基本原理以及对小波变换的的仿真实验。发现小波变换法不仅使边缘信息得到加强而且不会加强边缘噪声，相比传统的图像方法增强效果更显著，从结果可知基于小波变换的实验是成功的。
本文的创新之处在于，相对于传统的图像增强方法，小波变换对边缘特征的提取和保护更具数学分析背景，方便系统的理论分析。
关键词:图像增强,MATLAB,小波变换
Abstract
With the needs of real life, image enhancement plays an increasingly important role in the field of graphic processing. The effect of image enhancement directly affects the quality of work and visual experience. This article focuses on the specific methods and implementation of image enhancement, including the detailed introduction of the traditional image enhancement methods and the research of its improved methods. The image enhancement method can be broadly divided into two methods: spatial domain and frequency domain. The frequency domain enhancement is an indirect method of performing spatial transformation of an image to perform image enhancement processing on the image and then converting the image into an original image to achieve image enhancement. Enhancement method, airspace method is mainly to modify the pixels of the image to achieve the purpose.
In this paper, some image enhancement simulations based on MATLAB-based image enhancement methods have achieved certain results, including changing contrast, histogram transform, and spatial domain filtering. However, there are still some deficiencies. In order to improve the effect of image enhancement, this paper further studies the image enhancement method based on wavelet transform, and introduces the basic principle of wavelet transform and the simulation experiment of wavelet transform in detail. It is found that the wavelet transform method not only enhances the edge information but also does not enhance the edge noise. Compared with the traditional image method, the enhancement effect is more significant. From the result, it can be seen that the experiment based on the wavelet transform is successful.
The innovation of this paper is that compared with the traditional image enhancement methods, the wavelet transform has more mathematical analysis background for the extraction and protection of the edge features, which facilitates the theoretical analysis of the system.
Keywords: image enhancement,MATLAB, wavelet transform
目录
第1章 绪论 1
1.1 研究背景与意义 1
1.2 国内外研究现状 1
1.3 本文研究内容与章节安排 2
第2章 图像噪声概述 3
2.1 图像噪声 3
2.1.1 图像噪声的产生 3
2.1.2 图像噪声的分类 3
2.1.3 图像噪声的特点 4
第3章 图像增强的基本方法 5
3.1 内容简介 5
3.2 空域图像增强 5
3.2.1 灰度变换 5
3.2.2 直方图变换 9
3.2.3 空间域滤波 12
3.3 频域图像增强 15
3.3.1 基本原理 15
3.3.2 低通滤波 16
3.3.3 高通滤波 17
3.3.4 同态滤波 18
第4章 小波分析法图像增强 19
4.1 小波变换与傅里叶变换 19
4.2 小波变换的基本理论 19
4.2.1 一维连续小波变换 19
4.2.2 一维离散小波变换 20
4.2.3 二维连续小波变换 20
4.2.4 二维离散小波变换 21
4.3 小波变换的多尺度分析 21
4.4 基于小波变换的图像增强 22
4.4.1 小波变换图像增强原理 22
4.4.2 非线性增强 23
4.4.3 图像钝化 24
4.4.4 图像锐化 24
4.4.5 基于小波变换的图像阀值去噪 25
第5章 结论 27
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