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

Jonah C. McBride; Magnús S. Snorrason

doi:10.1117/12.818921

22 April 2009 Improving scene-based nonuniformity correction for infrared images using frequency domain processing

Proceedings Volume 7299, Thermosense XXXI; 729903 (2009) https://doi.org/10.1117/12.818921
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

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.

Citation Download Citation

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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