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

DOI

10.2991/emim-16.2016.106How to use a DOI?

Keywords

De-noising; Wiener filtering; Edge modeling; Mathematical analysis; Algorithm

Abstract

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.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Chuan Tian
AU  - Xin Li
AU  - Peng Wang
PY  - 2016/04
DA  - 2016/04
TI  - Research on the Image De-noising Algorithm Based on Wiener Filtering and Edge Modeling
BT  - Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society
PB  - Atlantis Press
SP  - 499
EP  - 504
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-16.2016.106
DO  - 10.2991/emim-16.2016.106
ID  - Tian2016/04
ER  -