Journal of the Optical Society of Korea

Optical Society of Korea (한국광학회)
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Scene-based Nonuniformity Correction Algorithm Based on Temporal Median Filter

  • Geng, Lixiang (School of Electronic Engineering and Optoelectronic Technology, NUST) ;
  • Chen, Qian (School of Electronic Engineering and Optoelectronic Technology, NUST) ;
  • Qian, Weixian (School of Electronic Engineering and Optoelectronic Technology, NUST) ;
  • Zhang, Yuzhen (Jiangsu Key of Spectral Imaging & Intelligent Sense, NUST)
  • Received : 2013.01.16
  • Accepted : 2013.04.16
  • Published : 2013.06.25
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Abstract

Scene-based nonuniformity correction techniques for infrared focal-plane arrays have been widely considered as a key technology, and various algorithms have been proposed to compensate for fixed-pattern noise. However, the existed algorithms' capability is always restricted by the problems of convergence speed and ghosting artifacts. In this paper, an effective scene-based nonuniformity correction method is proposed to solve these problems. The algorithm is an improvement over the constant statistics method and a temporal median is utilized with the Gaussian kernel to estimate the nonuniformity parameters. Also theoretical analysis is conducted to demonstrate that effective ghosting artifacts elimination and superior convergence speed can be obtained with the proposed method. Finally, the performance of the proposed technique is tested with infrared image sequences with simulated nonuniformity and with infrared imagery with real nonuniformity. The results show the proposed method is able to estimate each detector's gain and to offset reliably and that it performs better in increasing convergence speed and reducing ghosting artifacts compared with the conventional techniques.

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References

  1. J. G. Harris and Y. M. Chiang, "Nonuniformity correction using constant statistics constraint: analog and digital implementations," Proc. SPIE 3061, 895-905 (1997).
  2. J. G. Harris and Y. M. Chiang, "Minimizing the ghosting artifact in scene-based nonuniformity correction," Proc. SPIE 3377, 106-113 (1998).
  3. W. Qian, Q. Chen, J. Bai, and G. Gu, "Adaptive convergence nonuniformity correction algorithm," Appl. Opt. 50, 1-10 (2011). https://doi.org/10.1364/AO.50.000001
  4. E. Vera and S. Torres, "Fast adaptive nonuniformity correction for infrared focal-plane array detectors," EURASIP J. Appl. Signal Process 13, 106-117 (2005).
  5. D. A. Scribner, K. A. Sarkady, J. T. Caulfield, M. R. Kruer, G. Katz, and C. J. Gridly, "Nonuniformity correction for staring JR focal plane arrays using scene-based techniques," Proc. SPIE 1308, 224 (1990).
  6. S. N. Torres, E. M. Vera, R. A. Reeves, and S. K. Sobarzo, "Adaptive scene-based non-uniformity correction method for infrared-focal plane arrays," Proc. SPIE 5076, 130-139 (2003).
  7. R. C. Hardie, M. M. Hayat, E. E. Armstrong, and B. Yasuda, "Scene-based nonuniformity correction using video sequences and registration," Appl. Opt. 39, 1241-1250 (2000). https://doi.org/10.1364/AO.39.001241
  8. C. Zuo, Q. Chen, G. Gu, and X. Sui, "Scene-based nonuniformity correction algorithm based on interframe registration," J. Opt. Soc. Am. A 28, 1164-1176 (2011).
  9. B. Narayanan, R. C. Hardie, and R. A. Muse, "Scene-based nonuniformity correction technique that exploits knowledge of the focal-plane array readout architecture," Appl. Opt. 44, 3482-3491 (2005). https://doi.org/10.1364/AO.44.003482
  10. C. Zuo, Q. Chen, G. Gu, and W. Qian, "New temporal high-pass filter nonuniformity correction based on bilateral filter," Optical Review 18, 197-202 (2011). https://doi.org/10.1007/s10043-011-0042-y

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  1. An Adjacent Differential Statistics Method for IRFPA Nonuniformity Correction vol.5, pp.6, 2013, https://doi.org/10.1109/JPHOT.2013.2293614
  2. Embedded nonuniformity correction in infrared focal plane arrays using the Constant Range algorithm vol.69, 2015, https://doi.org/10.1016/j.infrared.2015.01.026