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[转载]【信息技术】【2011.09】【含源码】图像去噪增强技术研究

已有 1093 次阅读 2021-1-3 16:44 |系统分类:科研笔记|文章来源:转载

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本文为芬兰萨沃尼亚应用科学大学(作者:Mengqi Li)的学士论文,共51页。

 

本项目的目的是理解图像滤波的目的、算法及其典型特性。滤波类型包括:均值滤波、中值滤波、高斯滤波和双边滤波。主要的方法是用平滑滤波法进行去噪处理。它基于中值滤波和高斯滤波理论。同时,也改善了一些不足之处。因此,有必要研究高斯滤波的优缺点,改进其不足之处。最后,利用Matlab对算法进行了改进。通过对四组不同的图像数据进行分析,发现滤波去噪在图像处理领域中起着重要的作用。因此,有必要去除缺陷、提高图像处理结果的稳定性。

 

The purpose of this final project was to understand the aim of image filtering; algorithms and their typical characteristics. The filter types include: mean filter, median filtering, Gaussian filtering and Bilateral filtering. The main measure method was to use the smoothing filter method to do de-noising processing. It is based on median filtering and Gaussian filtering theory. At the same time, some shortcomings were enhanced. It was necessary to research the advantages and disadvantages of Gaussian filtering and improve deficiency. Finally, Matlab was used to modify algorithm. As a result, it was found out through four different group of image data that filtering de-noising plays an important role in the image processing field. Therefore, it is necessary to delete defects and enhance the stability of image processing results.

 

1.       引言

2. 降噪滤波器

3. 传统图像增强技术

4. MATLAB介绍

5. 基于MATLAB的图像降噪增强仿真与分析

6. 结论

附录改进滤波器性能比较源代码

附录自适应中值滤波器源代码

附录双边中值滤波器源代码


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