Paper
22 April 2009 Improving scene-based nonuniformity correction for infrared images using frequency domain processing
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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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jonah C. McBride and Magnús S. Snorrason "Improving scene-based nonuniformity correction for infrared images using frequency domain processing", Proc. SPIE 7299, Thermosense XXXI, 729903 (22 April 2009); https://doi.org/10.1117/12.818921
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Cameras

Image filtering

Signal to noise ratio

Sensors

Digital filtering

Calibration

Infrared imaging

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