Statistical recursive filtering estimation of detector offset nonuniformity in infrared imaging systems

Authors:
César San Martin;Sergio N. Torres
Affiliations:
Department of Electrical Engineering, University of Concepción, Concepción, 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 1

Discrete Random Signals and Statistical Signal Processing

Discrete Random Signals and Statistical Signal Processing
Fast adaptive nonuniformity correction for infrared focal-plane array detectors

EURASIP Journal on Applied Signal Processing

Extended Recursive Filtering Estimation of Detector Offset Nonuniformity in Infrared Imaging Systems

CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications

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Abstract

In this paper, a recursive filter to estimate the offset nonuniformity for infrared focal plane array imaging systems, using only the scene data, is presented. The proposed algorithm operates frame by frame in a pixel-by-pixel basis and there is not inter-related operations among the detectors. The method assumes that the input irradiance at each detector is a random and uniformly distributed variable in a range that is common to all detectors in the infrared focal plane array. The method is designed to operate in infrared imaging system, which exhibit important offset nonuniformities with slow temporal drift. The ability of the method to compensate for offset nonuniformity is demonstrated by employing several infrared video sequences obtained using an infrared camera.