An Enhancement to the Constant Range Method for Nonuniformity Correction of Infrared Image Sequences

  • Jorge E. Pezoa
  • Sergio N. Torres
  • Juan P. Córdova
  • Rodrigo A. Reeves
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3287)

Abstract

A statistical technique for adaptive nonuniformity correction of infrared image sequences has been developed. The method, which relies on our previously developed constant range nonuniformity correction method, estimates the nonuniformity parameters using two recursive estimation techniques. The method selects an estimation algorithm using a decision rule based on a threshold value computed from the collected infrared images. The strength of the method lies in its simplicity, low computational complexity, and its good trade-off between nonuniformity correction and ghosting artifacts reduction. The ability of the enhanced constant range technique to compensate for nonuniformity noise is demonstrated by using video sequences of infrared imagery with both real and synthetic nonuniformity.

Keywords

Root Mean Square Error Focal Plane Array Ghost Image Constant Range Nonuniformity Correction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Jorge E. Pezoa
    • 1
  • Sergio N. Torres
    • 1
  • Juan P. Córdova
    • 1
  • Rodrigo A. Reeves
    • 1
  1. 1.Department of Electrical EngineeringUniversity of ConcepciónConcepciónChile

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