
Proceedings Paper
Benchmarking image fusion algorithm performanceFormat | Member Price | Non-Member Price |
---|---|---|
$17.00 | $21.00 |
Paper Abstract
Registering two images produced by two separate imaging sensors having different detector sizes and fields of
view requires one of the images to undergo transformation operations that may cause its overall quality to
degrade with regards to visual task performance. This possible change in image quality could add to an already
existing difference in measured task performance. Ideally, a fusion algorithm would take as input unaltered
outputs from each respective sensor used in the process. Therefore, quantifying how well an image fusion
algorithm performs should be base lined to whether the fusion algorithm retained the performance benefit
achievable by each independent spectral band being fused. This study investigates an identification perception
experiment using a simple and intuitive process for discriminating between image fusion algorithm
performances. The results from a classification experiment using information theory based image metrics is
presented and compared to perception test results. The results show an effective performance benchmark for
image fusion algorithms can be established using human perception test data. Additionally, image metrics have
been identified that either agree with or surpass the performance benchmark established.
Paper Details
Date Published: 18 May 2012
PDF: 13 pages
Proc. SPIE 8355, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIII, 835513 (18 May 2012); doi: 10.1117/12.918418
Published in SPIE Proceedings Vol. 8355:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIII
Gerald C. Holst; Keith A. Krapels, Editor(s)
PDF: 13 pages
Proc. SPIE 8355, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIII, 835513 (18 May 2012); doi: 10.1117/12.918418
Show Author Affiliations
Christopher L. Howell, U.S. Army Night Vision and Electronic Sensors Directorate (United States)
Published in SPIE Proceedings Vol. 8355:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIII
Gerald C. Holst; Keith A. Krapels, Editor(s)
© SPIE. Terms of Use
