A RLS Filter for Nonuniformity and Ghosting Correction of Infrared Image Sequences

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

DOI: 10.1007/11892755_46

Volume 4225 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Torres F., Martin C.S., Torres S.N. (2006) A RLS Filter for Nonuniformity and Ghosting Correction of Infrared Image Sequences. In: Martínez-Trinidad J.F., Carrasco Ochoa J.A., Kittler J. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2006. Lecture Notes in Computer Science, vol 4225. Springer, Berlin, Heidelberg

Abstract

In this paper, a technique to improve the convergence and to reduce the ghosting artifacts of a previously developed adaptive scene-based nonuniformity correction method is presented. The nonuniformity correction method estimates detector parameters based on the recursive least square filter approach. We propose, three parameters to reduce ghosting artifacts and to speed up the convergence of such method by using only the read-out data. The parameters proposed are based in identify global motion between consecutive frames as well as evaluate the main assumption used in the previous method in the uncertainty on the input infrared irradiance. The ability of the method to compensate for nonuniformity and reducing ghosting artifacts is demonstrated by employing several infrared video sequences obtained using two infrared cameras.

Keywords

Image Sequence Processing Infrared Imaging RLS 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

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