A Recursive Least Square Adaptive Filter for Nonuniformity Correction of Infrared Image Sequences

  • Flavio Torres
  • Sergio N. Torres
  • César San Martín
Conference paper

DOI: 10.1007/11578079_56

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3773)
Cite this paper as:
Torres F., Torres S.N., Martín C.S. (2005) A Recursive Least Square Adaptive Filter for Nonuniformity Correction of Infrared Image Sequences. In: Sanfeliu A., Cortés M.L. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2005. Lecture Notes in Computer Science, vol 3773. Springer, Berlin, Heidelberg

Abstract

In this paper, an adaptive scene-based nonuniformity correction methodology for infrared image sequences is developed. The method estimates detector parameters and carry out the non-uniformity correction based on the recursive least square filter approach, with adaptive supervision. The key advantage of the method is based in its capacity for estimate detectors parameters, and then compensate for fixed-pattern noise in a frame by frame basics. The ability of the method to compensate for nonuniformity is demonstrated by employing several infrared video sequences obtained using two infrared cameras.

Keywords

Image Sequence Processing Infrared Imaging RLS 

Topic

Infrared Image and Video Processing Infrared Sensor-Imaging 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Flavio Torres
    • 1
  • Sergio N. Torres
    • 2
  • César San Martín
    • 1
    • 2
  1. 1.Department of Electrical EngineeringUniversity of La FronteraTemucoChile
  2. 2.Department of Electrical EngineeringUniversity of ConcepciónConcepciónChile

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