Research on a Bilateral Filtering Based Image Denoising Algorithm for Nightly Infrared Monitoring Images
- 10.2991/csss-14.2014.54How to use a DOI?
- Infrared Image; Denoising; Bilateral Filter; Weighted
Special information search from video images is a field with very utility value. In this paper, we use the bilateral filter to denoise nightly infrared monitoring images for preprocessing step, so that noises are reduced and edges are preserved. Considering that traditional bilateral filters do not balance gray-scale difference and the geometric distance in determining the weights of convolution kernel coefficients, we propose to give the two different values different weights, both of them are fully considered. Experimental results show that this algorithm can effectively remove noise as well as perfectly retain edge information.
- © 2014, 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 - Wang Zhong-ce AU - Xu Wei PY - 2014/06 DA - 2014/06 TI - Research on a Bilateral Filtering Based Image Denoising Algorithm for Nightly Infrared Monitoring Images BT - Proceedings of the 3rd International Conference on Computer Science and Service System PB - Atlantis Press SP - 234 EP - 237 SN - 1951-6851 UR - https://doi.org/10.2991/csss-14.2014.54 DO - 10.2991/csss-14.2014.54 ID - Zhong-ce2014/06 ER -