In this paper, an adaptive scene-based nonuniformity correction methodology for infrared image sequences is developed. The method estimates detector parameters and carry out the non-uniformity correction based on the recursive least square filter approach, with adaptive supervision. The key advantage of the method is based in its capacity for estimate detectors parameters, and then compensate for fixed-pattern noise in a frame by frame basics. The ability of the method to compensate for nonuniformity is demonstrated by employing several infrared video sequences obtained using two infrared cameras. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Torres, F., Torres, S. N., & Martín, C. S. (2005). A recursive least square adaptive filter for nonuniformity correction of infrared image sequences. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3773 LNCS, pp. 540–546). https://doi.org/10.1007/11578079_56
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