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Proceedings Paper

LWIR image visualization preserving local details and global distribution by gradient-domain image reconstruction
Author(s): Takashi Shibata; Masayuki Tanaka; Masatoshi Okutomi
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Paper Abstract

Recent developments of long wave infrared (LWIR) devices and LWIR sensor technologies enable us to obtain an LWIR image with high bit depth and low signal-noise ratio. To exploit these recent developments, we propose a novel temperature visualization method that can simultaneously represent global distribution and local details of the input temperature. The global temperature distribution is represented by pseudo color. On the other hand, to manipulate the local temperature details, the output luminance is generated by gradient-domain image reconstruction. Experimental results on real LWIR images show the effectiveness of the proposed method.

Paper Details

Date Published: 3 May 2017
PDF: 11 pages
Proc. SPIE 10178, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVIII, 101780X (3 May 2017); doi: 10.1117/12.2261266
Show Author Affiliations
Takashi Shibata, NEC Corp. (Japan)
Tokyo Institute of Technology (Japan)
Masayuki Tanaka, Tokyo Institute of Technology (Japan)
Masatoshi Okutomi, Tokyo Institute of Technology (Japan)


Published in SPIE Proceedings Vol. 10178:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVIII
Gerald C. Holst; Keith A. Krapels, Editor(s)

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