Fusion of IR and Visual Images Based on Gaussian and Laplacian Decomposition Using Histogram Distributions and Edge Selection
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-02-07
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Lee, Seohyung& Lee, Daeho. 2016. Fusion of IR and Visual Images Based on Gaussian and Laplacian Decomposition Using Histogram Distributions and Edge Selection. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1111982
Modern Language Association (MLA)
Lee, Seohyung& Lee, Daeho. Fusion of IR and Visual Images Based on Gaussian and Laplacian Decomposition Using Histogram Distributions and Edge Selection. Mathematical Problems in Engineering No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1111982
American Medical Association (AMA)
Lee, Seohyung& Lee, Daeho. Fusion of IR and Visual Images Based on Gaussian and Laplacian Decomposition Using Histogram Distributions and Edge Selection. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1111982
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1111982