摘要
为了研究各种去噪算法的优劣,在介绍图像去噪的基本原理、方法的基础上,采用传统的线性、非线性以及频域的方法对数字图像进行去噪效果的分析比较和仿真实现.最后,运用Matlab中小波工具箱验证了小波变换的滤波效果.结果表明,小波的时频特性,可更好的去除噪声.
In order to research on the quality of de-noising algorithms,the paper introduces the principle and methods of eliminating image noise. Using the tradition method such as linear, nonlinear and frequency domain to eliminate image noise,and their results of eliminating image noise are compared. Finally, image noise is eliminated using the wavelet toolbox of Matlab. Experiment shows that the character of good time-frequency has very good effects of de-noising.
出处
《河南科学》
2011年第10期1218-1220,共3页
Henan Science
基金
渭南师范学院研究生项目(08YKZ023)
关键词
图像去噪
仿真
MATLAB
小波变换
image noise elimination
simulation
Matlab
wavelet transformation