10 January 2005 A nonuniformity correction algorithm for infrared focal-plane arrays
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Nonuniformity is a pressing problem particularly for uncooled focal-plane arrays imaging systems. Based on the theory of Least Mean Square (LMS), an algorithm is developed to compensate for the nonuniformity response in focal-plane arrays (FPA). The proposed algorithm is able to reduce various errors caused by noises, sampling, etc. A correction model of multi-order function is presented which has least-mean square error, and then by utilizing response values at several known temperature points the coefficients of this function are obtained via the theory of LMS fitting. Taking one pixel as example, the graph of the correction error is drawn. The ability of the algorithm is demonstrated by using simulated and real data. What’s more, the effects of this algorithm in nonuniformity correction are revealed as opposed to those of some traditional algorithm. To compensate response drift along time, a method based on estimating motion in continuous frames is presented.
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Junju Zhang, Suxia Xing, Benkang Chang, Yunsheng Qian, Lianjun Sun, "A nonuniformity correction algorithm for infrared focal-plane arrays", Proc. SPIE 5640, Infrared Components and Their Applications, (10 January 2005); doi: 10.1117/12.573488; https://doi.org/10.1117/12.573488

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