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Proceedings Paper

LWIR and MWIR fusion algorithm comparison using image metrics
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Paper Abstract

This study determines the effectiveness of a number of image fusion algorithms through the use of the following image metrics: mutual information, fusion quality index, weighted fusion quality index, edge-dependent fusion quality index and Mannos-Sakrison’s filter. The results obtained from this study provide objective comparisons between the algorithms. It is postulated that multi-spectral sensors enhance the probability of target discrimination through the additional information available from the multiple bands. The results indicate that more information is present in the fused image than either single band image. The image quality metrics quantify the benefits of fusion of MWIR and LWIR imagery.

Paper Details

Date Published: 12 May 2005
PDF: 11 pages
Proc. SPIE 5784, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVI, (12 May 2005); doi: 10.1117/12.604418
Show Author Affiliations
S. K. Chari, Univ. of Memphis (United States)
J. D. Fanning, Univ. of Memphis (United States)
S. M. Salem, Univ. of Memphis (United States)
A. L. Robinson, Univ. of Memphis (United States)
C. E. Halford, Univ. of Memphis (United States)


Published in SPIE Proceedings Vol. 5784:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVI
Gerald C. Holst, Editor(s)

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