Restoration technology of the video under snow
Authors
Xiaomeng Zhou, Yan Piao, Ge Shi
Corresponding Author
Xiaomeng Zhou
Available Online January 2015.
- DOI
- 10.2991/iccset-14.2015.86How to use a DOI?
- Keywords
- Symmetric frame differencing; Snow removal; Fog removal; Image restoration
- Abstract
The snow in video images affects image quality and blurs key objects in the video image. It affects the ability of computer automatic detection, recognition and target tracking. First of all, we can use the improved symmetrical frame differencing method to detect and remove snow. If the snow is intensive, we will remove snow fog to improve the result of restoration. The simulation results show that this method can effectively remove the snow in the video image, it can provide a feasible method for clearness of bad weather.
- Copyright
- © 2015, 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/).
Cite this article
TY - CONF AU - Xiaomeng Zhou AU - Yan Piao AU - Ge Shi PY - 2015/01 DA - 2015/01 TI - Restoration technology of the video under snow BT - Proceedings of the 2014 International Conference on Computer Science and Electronic Technology PB - Atlantis Press SP - 387 EP - 390 SN - 2352-538X UR - https://doi.org/10.2991/iccset-14.2015.86 DO - 10.2991/iccset-14.2015.86 ID - Zhou2015/01 ER -