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Proceedings Paper

Improving scene-based nonuniformity correction for infrared images using frequency domain processing
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Paper Abstract

Scene-Based Non-Uniformity Correction (SBNUC) is an attractive alternative to radiometric calibration for infrared sensors because it does not rely on specialized hardware. The best known approach is Constant Statistics (CS) but it is highly dependant on scene content and the amount of motion present, often introducing a "ghosting" artifact. In this paper, we present a novel approach which applies a variation on CS to both the spatial and frequency domains of the image. The result is a solution which effectively eliminates fixed pattern noise without ghosting and is much less dependant scene content and scene motion than traditional CS.

Paper Details

Date Published: 22 April 2009
PDF: 11 pages
Proc. SPIE 7299, Thermosense XXXI, 729903 (22 April 2009); doi: 10.1117/12.818921
Show Author Affiliations
Jonah C. McBride, Charles River Analytics, Inc. (United States)
Magnús S. Snorrason, Charles River Analytics, Inc. (United States)

Published in SPIE Proceedings Vol. 7299:
Thermosense XXXI
Douglas D. Burleigh; Ralph B. Dinwiddie, Editor(s)

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