Infrared and Visible Image Fusion Algorithm Based on Characteristic Analysis

DOI

10.2991/esac-15.2015.41How to use a DOI?

Keywords

Fusion algorithm, Infrared and visible images, Characteristics, Similarity

Abstract

There are existing fusion algorithm have some problems of Blur and the easy integration with the fusion effect. In response to this phenomenon, this paper presents an infrared and visible image fusion algorithm based on characteristic analysis. It is according the signal characteristics of the infrared and visible image to analysis the similarity of region. It is to classify processing the image signal in the last. The results show that the experimental results are basically consistent with the expected results. The fused image has the advantages of high definition and Anti-interference ability.

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/).

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TY  - CONF
AU  - Xinghua Lu
PY  - 2015/08
DA  - 2015/08
TI  - Infrared and Visible Image Fusion Algorithm Based on Characteristic Analysis
BT  - Proceedings of the 2015 International Conference on Electronic Science and Automation Control
PB  - Atlantis Press
SP  - 163
EP  - 166
SN  - 2352-538X
UR  - https://doi.org/10.2991/esac-15.2015.41
DO  - 10.2991/esac-15.2015.41
ID  - Lu2015/08
ER  -