基于中值滤波与小波变换的图像去噪声实现毕业论文+程序源码及文献+程序说明文档

基于变换域的图像去噪声

摘要

在日常生活中，图像已经成为人们获取、传递信息的重要手段，但图像在产生、传播时容易受到噪声的干扰，使得图像变得模糊，因此对模糊图像进行去噪处理变得很重要。

本文主要研究中值滤波和小波变换来去除图像中脉冲和高斯噪声，研究内容主要分为以下几个部分：

一、本文研究了利用标准的中值滤波、极值中值滤波和极值中值滤波的改进算法来去除图像中的脉冲噪声，通过实验比较，改进算法具有较好的去噪效果。

二、本文研究了利用基于阈值的小波变换来去除图像中高斯噪声，研究了软硬阈值处理函数和新阈值处理函数，通过实验比较，采用新阈值处理函数的小波去噪效果较好。

三、本文针对单一去噪算法在去除混合噪声的不足，研究了将两种改进算法结合来去除混合噪声，通过实验比较，结合算法去噪效果好。

关键词：图像去噪  中值滤波  小波去噪

The Research of Image Denoising Based on Transform Domain

Abstract

In daily life,picture has become an important way for people to obtain and transmit information.However,pictures,especially during the process of it’s generation and transmission, can be easily interrupted by noise,as a result,it becomes vague.Therefore,it is important to denoise the vague pictures. The text will mainly study the using of the median filtering and wavelet transformation to remove pulse and Gaussian noise in a picture.The content of the study  will be given below.

I.The text studied the removal of pulse noise in a picture,by adopting the standard median filtering,extremum median filtering algorithm and the improved one that based on extremum.According to the experiment,the text also finds out that the improved algorithm has a good effect on denoising.

II.The text studied the removal of Gaussian noise,soft-hard processing threshold and new threshold processing function,by adopting wavelet denoising that based on threshold .According to the experiment,wavelet denoising that based on new threshold processing function has a good effect on denoise.

III.Aiming at the deficiency in removal mixed noise of single denoising algorithm,the text explored the method that combined the two improved algorithm to remove mixed noise.According to the experiment,combined algorithm has a good effect on denoising.

Keywords ：Image denoising;Median filter;Wavelet transform

目录

1. 绪论 1

1.1引言 1

1.2. 图像去噪的研究现状 1

1.3图像去噪算法的发展趋势 2

1.4 本文的研究内容及组织结构 2

2. 图像去噪的理论及常用方法 4

2.1图像中的噪声 4

2.2 图像去噪的常用方法 4

2.3几种新型的滤波方法 6

2.4 评价图像质量的两种方法 7

2.4.1主观评价 7

2.4.2客观评价 7

3.极值中值滤波及改进算法 9

3.1极值中值滤波 9

3.2极值中值滤波原理 9

3.3极值中值滤波的改进方法 10

3.4实验仿真分析 11

3.5本章小结 14

4. 小波变换的图像去噪 15

4.1由傅里叶到小波变换 15

4.2小波变换的图像去噪原理 15

4.3阈值的选取 16

4.4阈值处理函数 17

4.5 实验仿真分析 19

4.6本章小结 23

5.中值滤波和小波变换相结合去除混合噪声 24

5.1结合算法的思想和步骤 24

5.2实验仿真分析 25

5.3本章小结 28

6总结与展望 29

致谢 30

参考文献 31