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Mathematical Problems in Engineering
Volume 2016 (2016), Article ID 3130681, 9 pages
Research Article

Fusion of IR and Visual Images Based on Gaussian and Laplacian Decomposition Using Histogram Distributions and Edge Selection

1Department of Electronics and Radio Engineering, Kyung Hee University, Yongin 17104, Republic of Korea
2Humanitas College, Kyung Hee University, Yongin 17104, Republic of Korea

Received 3 December 2015; Revised 25 January 2016; Accepted 26 January 2016

Academic Editor: Zhike Peng

Copyright © 2016 Seohyung Lee and Daeho Lee. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


We propose a novel fusion method of IR (infrared) and visual images to combine distinct information from two sources. To decompose an image into its low and high frequency components, we use Gaussian and Laplacian decomposition. The strong high frequency information in the two sources can be easily fused by selecting the large magnitude of Laplacian images. The distinct low frequency information, however, is not as easily determined. As such, we use histogram distributions of the two sources. Therefore, experimental results show that the fused images can contain the dominant characteristics of both sources.