基于偏微分与边缘检测的高斯噪声去除算法的设想  

An Idea About Moving Gauss Noise Based on Edge Det ection and Partial Differential Equation

作　　者：吕岚[1] Lyu Lan(Software College,Minjiang University,Fuzhou Fujian 350108,China)

机构地区：[1]福州闽江学院软件学院,福建福州350108

出　　处：《信息与电脑》2020年第6期63-65,共3页Information & Computer

基　　金：2018年福建省中青年教师教育科研项目(项目编号:JT180401)。

摘　　要：基于偏微分去噪方法的研究一直以来都是数字图像处理的重要领域之一,其中,高斯噪声由于受噪位置的随机性以及受噪深度的随机性,采用偏微分方法进行去噪的同时,会对图像的边缘产生一定程度的破坏。基于此,笔者提出一种两步去噪算法的设想,先采用有效的边缘检测算子进行边缘检测,然后针对非边缘区域采用偏微分方法进行去噪。The research of partial differential de-noising method has always been one of the important fields of digital image processing.Because of the randomness of the position and the depth of the noise,the edge of the image will be damaged to a certain extent when the partial differential de-noising method is used.Based on this,the author proposes a two-step denoising algorithm,which first uses an effective edge detection operator for edge detection,and then uses partial differential method for non edge areas.

关 键 词：边缘检测 高斯噪声 偏微分方程 去噪 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]