摘要
降噪的中值滤波法是经典数字图像处理方法.介绍了该方法及其改进算法在其中的应用,进而介绍了基本理论和变换的分解与重构原理,通过选取最佳阈值,并对其分解后的系数进行量化处理,再对高低频系数重构,实现其功能.最后采用MATLAB仿真平台进行实际验证,进而为实际应用提供依据.
The median filtering method for denoising is a classical digital image processing method.This paper introduces the application of this method and its improved algorithm, and then introduces the basic theory and the decomposition and reconstruction principle of the transformation.By selecting the best threshold, the decomposed coefficients are quantified, and the high and low frequency coefficients are reconstructed to implement its function.Finally, the MATLAB simulation platform is used for practical verification, which provides a basis for practical application.
作者
梁东杰
左旭龙
李孟姣
谢琳
LIANG Dongjie;ZUO Xulong;LI Mengjiao;XIE Lin(Xuchang City Science and Technology Innovation Public Service Centre,Xnchang 461000,China;Xnchang Hi-tech Entrepreneurship Service Center Co.,Ltd.,Xnchang 461000,China)
出处
《许昌学院学报》
CAS
2018年第10期60-63,共4页
Journal of Xuchang University
基金
河南省科技攻关计划项目(122102310441)
关键词
小波分析
中值滤波法
图像去噪
算法研究
wavelet analysis
median filtering method
image denoising
algorithm research
