摘要
为了研究几种图像去噪方法的优劣,在介绍图像去噪的基本方法与原理的基础上,应用传统的线性、非线性以及频域的方法对含高斯噪声,椒盐噪声的图像进行去噪,然后对去噪效果进行分析比较和仿真实现.最后,通过Matlab进行仿真验证了邻域平均法对高斯噪声抑制是比较好的,维纳滤波对高斯噪声有明显的抑制作用,中值滤波对椒盐噪声的去噪效果很好,小波变换法对低幅值的噪声和不期望的图像噪声的去噪效果令人满意.
In order to research on the quality of denoising algorithms,the paper introduces the principle and methods of eliminating image noise, using the tradition methods such as linear, nonlinear and frequency domain to eliminate image noise, and their results of eliminating image noise are compared. Finally, better denoising effect of averaging filtering on Gaussian noise and good denoising effect of median filtering on salt and pepper noise are demonstrated by simulation using Matlab. Through Wiener filtering, the Gaussian noise is inhibited obviously, and denoising effect of the wavelet transform method on the low amplitude noise and unwanted image noise is satisfactory.
出处
《河南科学》
2013年第9期1387-1390,共4页
Henan Science
关键词
图像去噪
邻域平均法
中值滤波
维纳滤波
小波变换
image denoising
neighborhood averaging
median filtering
Wiener filtering
wavelet transformation
