Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)

Infrared and Vsible Image Fusion Method Based on Wavelet Transform

Authors
Yu Chen Lin, Tian Hua Chen
Corresponding Author
Yu Chen Lin
Available Online August 2013.
DOI
https://doi.org/10.2991/icacsei.2013.151How to use a DOI?
Keywords
Image fusion, Wavelet transform, Infrared image and visible image, Simulation experiment
Abstract
According to the feature of infrared and visible image , a method of image fusion based on wavelet transform is proposed in this paper . Firstly, we make wavelet transform for the infrared and visible image after Preprocessing and regist-ration, so we get the different frequency wavelet coefficients of source images , then we separately do image fusion for different frequency domain after decomposition according to the rules: The low frequency wavelet coefficients are weighted and on high frequency wavelet coefficient we select large. Meanwhile we com-pare it with Space domain fusion algorithm according to the rules :The pixel are weighted and selected large. The simulation experiment result shows that using wavelet second fusion method has a good effect on the infrared and visible image fusion.
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Proceedings
2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
978-90-78677-74-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/icacsei.2013.151How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yu Chen Lin
AU  - Tian Hua Chen
PY  - 2013/08
DA  - 2013/08
TI  - Infrared and Vsible Image Fusion Method Based on Wavelet Transform
BT  - 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icacsei.2013.151
DO  - https://doi.org/10.2991/icacsei.2013.151
ID  - Lin2013/08
ER  -