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Fixed Pattern Noise Reduction in Infrared Videos Based on Joint Correction of Gain and Offset  

Kim, Seong-Min (Dept. of Electrical Engineering, KAIST)
Bae, Yoon-Sung (Dept. of Electrical Engineering, KAIST)
Jang, Jae-Ho (Dept. of Electrical Engineering, KAIST)
Ra, Jong-Beom (Dept. of Electrical Engineering, KAIST)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.49, no.2, 2012 , pp. 35-44 More about this Journal
Abstract
Most recent infrared (IR) sensors have a focal-plane array (FPA) structure. Spatial non-uniformity of a FPA structure, however, introduces unwanted fixed pattern noise (FPN) to images. This non-uniformity correction (NUC) of a FPA can be categorized into target-based and scene-based approaches. In a target-based approach, FPN can be separated by using a uniform target such as a black body. Since the detector response randomly drifts along the time axis, however, several scene-based algorithms on the basis of a video sequence have been proposed. Among those algorithms, the state-of-the-art one based on Kalman filter uses one-directional warping for motion compensation and only compensates for offset non-uniformity of IR camera detectors. The system model using one-directional warping cannot correct the boundary region where a new scene is being introduced in the next video frame. Furthermore, offset-only correction approaches may not completely remove the FPN in images if it is considerably affected by gain non-uniformity. Therefore, for FPN reduction in IR videos, we propose a joint correction algorithm of gain and offset based on bi-directional warping. Experiment results using simulated and real IR videos show that the proposed scheme can provide better performance compared with the state-of-the art in FPN reduction.
Keywords
IR sensor; FPA structure; fixed pattern noise(FPN); non-uniformity correction(NUC); Kalman filter;
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Times Cited By KSCI : 1  (Citation Analysis)
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