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Applied Optics

Applied Optics


  • Vol. 38, Iss. 5 — Feb. 10, 1999
  • pp: 772–780

Statistical algorithm for nonuniformity correction in focal-plane arrays

Majeed M. Hayat, Sergio N. Torres, Ernest Armstrong, Stephen C. Cain, and Brian Yasuda  »View Author Affiliations

Applied Optics, Vol. 38, Issue 5, pp. 772-780 (1999)

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A statistical algorithm has been developed to compensate for the fixed-pattern noise associated with spatial nonuniformity and temporal drift in the response of focal-plane array infrared imaging systems. The algorithm uses initial scene data to generate initial estimates of the gain, the offset, and the variance of the additive electronic noise of each detector element. The algorithm then updates these parameters by use of subsequent frames and uses the updated parameters to restore the true image by use of a least-mean-square error finite-impulse-response filter. The algorithm is applied to infrared data, and the restored images compare favorably with those restored by use of a multiple-point calibration technique.

© 1999 Optical Society of America

OCIS Codes
(040.1520) Detectors : CCD, charge-coupled device
(100.2550) Image processing : Focal-plane-array image processors
(100.3010) Image processing : Image reconstruction techniques
(110.3080) Imaging systems : Infrared imaging

Original Manuscript: September 24, 1998
Revised Manuscript: November 12, 1998
Published: February 10, 1999

Majeed M. Hayat, Sergio N. Torres, Ernest Armstrong, Stephen C. Cain, and Brian Yasuda, "Statistical algorithm for nonuniformity correction in focal-plane arrays," Appl. Opt. 38, 772-780 (1999)

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