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Proceedings Paper

Scene-based nonuniformity correction in infrared videos
Author(s): Yoonsung Bae; Jongho Lee; Jong Ho Lee; Jong Beom Ra
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Paper Abstract

Recent infrared (IR) sensors are mostly based on a focal-plane array (FPA) structure. However, IR images suffer from the fixed pattern noise (FPN) due to non-uniform response of a FPA structure. Various nonuniformity correction (NUC) techniques have been developed to alleviate the FPN. They can be categorized into reference-based and scene-based approaches. In order to deal with a temporal drift, however, a scene-based approach is needed. Among scene-based algorithms, conventional algorithms compensate only for the offset non-uniformity of IR camera detectors based on the global motion information. Local motions in a video, however, can introduce inaccurate motion information for NUC. Considering global and local motions simultaneously, we propose a correction algorithm of gain and offset. Experiment results using simulated and real IR videos show that the proposed algorithm provides performance improvement on the FPN reduction.

Paper Details

Date Published: 7 May 2012
PDF: 9 pages
Proc. SPIE 8399, Visual Information Processing XXI, 83990J (7 May 2012); doi: 10.1117/12.919049
Show Author Affiliations
Yoonsung Bae, KAIST (Korea, Republic of)
Jongho Lee, KAIST (Korea, Republic of)
Jong Ho Lee, Agency for Defense Development (Korea, Republic of)
Jong Beom Ra, KAIST (Korea, Republic of)


Published in SPIE Proceedings Vol. 8399:
Visual Information Processing XXI
Mark Allen Neifeld; Amit Ashok, Editor(s)

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