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Proceedings Paper

Theory of enhancing thermal imaging through fire
Author(s): Jae H. Cha; A. Lynn Abbott; Keith A. Krapels; Harold H. Szu
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Paper Abstract

Fire can overwhelm the field of view of a thermal imaging sensor with intensive radiation, and when presented to observers can cause important cues in the scene to go unnoticed due to the limited dynamic range of displays and of the human visual system. Here we propose a computational method, called software-defined camera (SDC), to improve the image quality for an un-cooled thermal imager seeing through fire that obscures lower-temperature objects in the background. To that end, we developed a novel theory for the arbitrary manipulation of optical radiation sources, which is based on rigorous application of Boltzmann’s molecular thermodynamics. On this framework it is possible to formulate the problem of identification and selective removal/suppression of the optical radiation sources, and thus to design a blind source separation algorithm. Application of the developed theory should make it possible to design a low-cost specialty SDC that is able to see through high temperature fire for locating a relatively low temperature objects such as a human body.

Paper Details

Date Published: 19 June 2014
PDF: 7 pages
Proc. SPIE 9118, Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XII, 91180A (19 June 2014); doi: 10.1117/12.2052654
Show Author Affiliations
Jae H. Cha, Virginia Polytechnic Institute and State Univ. (United States)
A. Lynn Abbott, Virginia Polytechnic Institute and State Univ. (United States)
Keith A. Krapels, The Univ. of Memphis (United States)
Harold H. Szu, The Catholic Univ. of America (United States)


Published in SPIE Proceedings Vol. 9118:
Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XII
Harold H. Szu; Liyi Dai, Editor(s)

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