A recursive least square adaptive filter for nonuniformity correction of infrared image sequences

Authors:
Flavio Torres;Sergio N. Torres;César San Martín
Affiliations:
Department of Electrical Engineering, University of La Frontera, Temuco, Chile;Department of Electrical Engineering, University of Concepción, Concepción, Chile;Department of Electrical Engineering, University of La Frontera, Temuco, Chile
Venue:
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
Year:
2005

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Abstract

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.