Real-time Kalman Filtering for nonuniformity correction on infrared image sequences: Performance and analysis

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Abstract

A scene-based method for nonuniformity correction of infrared image sequences is developed and tested. The method uses the information embedded in the scene and performs the correction in a frame by frame Kalman Filter approach. The key assumption of the method is that the uncertainty on the input infrared irradiance integrated by each detector is solved using the spatial infrared information collected from the scene. The performance of the method is tested using infrared image sequences captured by two infrared cameras. © Springer-Verlag Berlin Heidelberg 2005.

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Sobarzo, S. K., & Torres, S. N. (2005). Real-time Kalman Filtering for nonuniformity correction on infrared image sequences: Performance and analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3773 LNCS, pp. 752–761). https://doi.org/10.1007/11578079_78

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