Statistical algorithm for nonuniformity correction in focal-plane arrays

Authors

Majeed M. Hayat, Marquette UniversityFollow
Sergio N. Torres, University of Dayton
Ernest Armstrong, U.S. Air Force Research LaboratoryFollow
Stephen C. Cain, University of DaytonFollow
Brian Yasuda, U.S. Air Force Research Laboratory

Document Type

Article

Language

eng

Publication Date

3-10-2019

Publisher

Optical Society of America

Source Publication

Applied Optics

Source ISSN

1559-128X

Abstract

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.

Comments

Accepted version. Applied Optics, Vol. 38, No. 5 (March 10, 2019): 772-780. DOI. © 2019 Optical Society of America. Used with permission

Recommended Citation

Hayat, Majeed M.; Torres, Sergio N.; Armstrong, Ernest; Cain, Stephen C.; and Yasuda, Brian, "Statistical algorithm for nonuniformity correction in focal-plane arrays" (2019). Electrical and Computer Engineering Faculty Research and Publications. 516.
https://epublications.marquette.edu/electric_fac/516