A Improved Infrard And Visible Light Image Fusion Algorithm

DOI

10.2991/iccsee.2013.304How to use a DOI?

Keywords

image fusion, Nonsubsampled Contourlet Transform, NSCT ,reconstruction, infrared image,visible light image

Abstract

On the basis of Nonsubsampled Contourlet Transform (NSCT) research, this paper proposed an improved image fusion algorithm based on the infrared and visible light image fusion. First of all, the NSCT was used to decompose the infrared image and the visible light image. Then the pixel feature energy weighted fusion rule and the neighborhood variance feature information fusion rule were used to get the low-frequency and high-frequency coefficients. Finally, the inverse NSCT was used to reconstruct the image to get the fused image. The experiment results show that this algorithm could effectively improve the image fusion quality.

Copyright

© 2013, 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  - Zhong-jie Xiao
PY  - 2013/03
DA  - 2013/03
TI  - A Improved Infrard And Visible Light Image Fusion Algorithm
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 1210
EP  - 1213
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.304
DO  - 10.2991/iccsee.2013.304
ID  - Xiao2013/03
ER  -