Research on a Bilateral Filtering Based Image Denoising Algorithm for Nightly Infrared Monitoring Images

DOI

10.2991/csss-14.2014.54How to use a DOI?

Keywords

Infrared Image; Denoising; Bilateral Filter; Weighted

Abstract

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.

Copyright

© 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/).

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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  -