Research on the Image De-noising Algorithm Based on Wiener Filtering and Edge Modeling

被引：0
|
作者：
Tian, Chuan [1 ]
Li, Xin [2 ]
Wang, Peng [3 ]
机构：
[1] Tsinghua Univ, Coll Software, Beijing 100081, Peoples R China
[2] Acad Armored Force Engn, Dept Informat, Beijing 100072, Peoples R China
[3] Cent Banks Qingdao City, Qingdao 266071, Peoples R China
来源：
PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON ELECTRONIC, MECHANICAL, INFORMATION AND MANAGEMENT SOCIETY (EMIM) | 2016年 / 40卷
关键词：
De-noising; Wiener filtering; Edge modeling; Mathematical analysis; Algorithm;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we conduct research on the image de-noising algorithm based on the Wiener filtering and the edge modeling. Image restoration is a norm and the noise pollution observation to estimate the original image in the image, the purpose is to restore the decay and loss of high frequency components. In real applications, the image degradation process is very complicated, it is difficult to describe with accurate mathematical model and therefore the applicable scope of the core traditional image restoration technology is limited. Under this background, we propose the new perspectives of the issues that will be meaningful and necessary.
引用
收藏
页码：499 / 504
页数：6
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