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Proceedings Paper

Model-based real-time nonuniformity correction in focal plane array detectors
Author(s): Majeed M. Hayat; Sergio N. Torres; Stephen C. Cain; Ernest E. Armstrong
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Paper Abstract

A statistical model for the focal-plane array (FPA) output is developed characterizing the random nature of nonuniformity in time and space. The rationale of this method is that current and past outputs of the FPA bear information about the nonuniformity. Using a statistical algorithm, this hidden information about the random nonuniformity can be extracted and used to restore the true image. The proposed algorithm consists of two main parts. The first part involves a periodic statistical estimation of the model parameters using current data. The second part involves utilizing the estimated parameters in restoring the true image by means of a least mean square FIR filter whose coefficients remain unchanged between the rounds of parameter estimation. This model-based approach exploits the slow drift of the sensors' offset voltage, gain, and circuit noise in order to reduce the necessary computations to a minimum.

Paper Details

Date Published: 26 August 1998
PDF: 11 pages
Proc. SPIE 3377, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing IX, (26 August 1998); doi: 10.1117/12.319366
Show Author Affiliations
Majeed M. Hayat, Univ. of Dayton (United States)
Sergio N. Torres, Univ. of Dayton (United States)
Stephen C. Cain, Univ. of Dayton (United States)
Ernest E. Armstrong, Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 3377:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing IX
Gerald C. Holst, Editor(s)

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