Scene-based nonuniformity correction in infrared videos

7 May 2012 Scene-based nonuniformity correction in infrared videos

Yoonsung Bae, Jongho Lee, Jong Ho Lee, Jong Beom Ra

Proceedings Volume 8399, Visual Information Processing XXI; 83990J (2012) https://doi.org/10.1117/12.919049
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

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.

Citation Download Citation

Yoonsung Bae, Jongho Lee, Jong Ho Lee, and Jong Beom Ra "Scene-based nonuniformity correction in infrared videos", Proc. SPIE 8399, Visual Information Processing XXI, 83990J (7 May 2012); https://doi.org/10.1117/12.919049

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