7 May 2012 Scene-based nonuniformity correction in infrared videos
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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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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); doi: 10.1117/12.919049; https://doi.org/10.1117/12.919049
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