Research on the Image De-noising Algorithm Based on Wiener Filtering and Edge Modeling
Chuan Tian, Xin Li, Peng Wang
Available Online April 2016.
- https://doi.org/10.2991/emim-16.2016.106How to use a DOI?
- De-noising; Wiener filtering; Edge modeling; Mathematical analysis; Algorithm
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 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 - https://doi.org/10.2991/emim-16.2016.106 ID - Tian2016/04 ER -