“De-Ghosting” Artifact in Scene-Based Nonuniformity Correction of Infrared Image Sequences

  • Anselmo Jara
  • Flavio Torres
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7042)

Abstract

In this paper we present a new technique to improve the convergence and to reduce the ghosting artifacts based on constant statistics (CS) method. We propose to reduce ghosting artifacts and to speed up the convergence by using enhanced constant statistics method with the motion threshold. 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 and reducing ghosting artifacts is demonstrated by employing video sequences of simulated and several infrared video sequences obtained using two infrared cameras.

Keywords

Infrared detectors focal-plane array non-uniformity correction fixed-pattern noise ghosting artifact 

References

  1. 1.
    Torres, S., Hayat, M.: Kalman Filtering for Adaptive Nonuniformity Correction in Infrared Focal Plane Arrays. The JOSA-A Opt. Soc. of America 20, 470–480 (2003)CrossRefGoogle Scholar
  2. 2.
    Torres, S., Pezoa, J., Hayat, M.: Scene-based Nonuniformity Correction for Focal Plane Arrays Using the Method of the Inverse Covariance Form. OSA App. Opt. Inf. Proc. 42, 5872–5881 (2003)Google Scholar
  3. 3.
    Scribner, D., Sarkady, K., Kruer, M.: Adaptive Nonuniformity Correction for Infrared Focal Plane Arrays using Neural Networks. In: Proceeding of SPIE, vol. 1541, pp. 100–109 (1991)Google Scholar
  4. 4.
    Scribner, D., Sarkady, K., Kruer, M.: Adaptive Retina-like Preprocessing for Imaging Detector Arrays. In: Proceeding of the IEEE International Conference on Neural Networks, vol. 3, pp. 1955–1960 (1993)Google Scholar
  5. 5.
    Torres, S., Vera, E., Reeves, R., Sobarzo, S.: Adaptive Scene-Based Nonuniformity Correction Method for Infrared Focal Plane Arrays. In: Proceeding of SPIE, vol. 5076, pp. 130–139 (2003)Google Scholar
  6. 6.
    Vera, E., Torres, S.: Fast Adaptive Nonuniformity Correction for Infrared Focal Plane Arrays. EURASIP Journal on Applied Signal Processing (2005)Google Scholar
  7. 7.
    Torres, F., Torres, S.N., Martín, C.S.: A Recursive Least Square Adaptive Filter for Nonuniformity Correction of Infrared Image Sequences. In: Sanfeliu, A., Cortés, M.L. (eds.) CIARP 2005. LNCS, vol. 3773, pp. 540–546. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  8. 8.
    Torres, F., Martin, C.S., Torres, S.N.: A RLS Filter for Nonuniformity and Ghosting Correction of Infrared Image Sequences. In: Martínez-Trinidad, J.F., Carrasco Ochoa, J.A., Kittler, J. (eds.) CIARP 2006. LNCS, vol. 4225, pp. 446–454. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  9. 9.
    Harris, J.G., Chiang, Y.M.: Nonuniformity correction of infrared image sequences using the constant-statistics constraint. IEEE Trans. Image Process 8(8), 1148–1151 (1999)CrossRefGoogle Scholar
  10. 10.
    Harris, J.G., Chiang, Y.M.: Nonuniformity correction of infrared image sequences using the constant-statistics constraint. IEEE Transactions on Image Processing 8(8), 1148–1151 (1999)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Anselmo Jara
    • 1
  • Flavio Torres
    • 1
  1. 1.Department of Electrical EngineeringUniversity of the FronteraTemucoChile

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