A RLS filter for nonuniformity and ghosting correction of infrared image sequences

Authors:
Flavio Torres;César San Martin;Sergio N. Torres
Affiliations:
Department of Electrical Engineering, University of La Frontera, Temuco, Chile;Department of Electrical Engineering, University of La Frontera, Temuco, Chile;Department of Electrical Engineering, University of Concepción, Concepción, Chile
Venue:
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
Year:
2006

Citing 2
Cited 2

Fast adaptive nonuniformity correction for infrared focal-plane array detectors

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

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Model-based correlation measure for nonuniformity gain and offset parameters of infrared focal-plane-array sensors

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“De-Ghosting” artifact in scene-based nonuniformity correction of infrared image sequences

CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

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Abstract

In this paper, a technique to improve the convergence and to reduce the ghosting artifacts of a previously developed adaptive scene-based nonuniformity correction method is presented. The nonuniformity correction method estimates detector parameters based on the recursive least square filter approach. We propose, three parameters to reduce ghosting artifacts and to speed up the convergence of such method by using only the read-out data. The parameters proposed are based in identify global motion between consecutive frames as well as evaluate the main assumption used in the previous method in the uncertainty on the input infrared irradiance. The ability of the method to compensate for nonuniformity and reducing ghosting artifacts is demonstrated by employing several infrared video sequences obtained using two infrared cameras.