Minimum Variance Gain Nonuniformity Estimation in Infrared Focal Plane Array Sensors

  • César San-Martin
  • Gabriel Hermosilla
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5856)

Abstract

In this paper, a minimum variance estimator for the gain nonuniformity (NU) in infrared (IR) focal plane array (FPA) imaging system is presented. Recently, we have developed a recursive filter estimator for the offset NU using only the collected scene data, assuming that the offset is a constant in a block of frames where it is estimated. The principal assumption of this scene-based NU correction (NUC) method is that the gain NU is a known constant and does not vary in time. However, in several FPA real systems the gain NU drift is significant. For this reason, in this work we present a gain NU drift estimation based on the offset NU recursive estimation assuming that gain and offset are jointly distributed. The efficacy of this NUC technique is demonstrated by employing several real infrared video se quences.

Keywords

Minimum Variance Estimator Image Sequence Processing Infrared Focal Plane Arrays Signal Processing 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • César San-Martin
    • 1
  • Gabriel Hermosilla
    • 2
  1. 1.Information Processing Laboratory, Department of Electrical EngineeringUniversidad de La FronteraTemucoChile
  2. 2.Department of Electrical Eng.Universidad de ChileSantiagoChile

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