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.
© 2013 Optical Society of Korea
Original Manuscript: January 16, 2013
Revised Manuscript: March 25, 2013
Manuscript Accepted: April 16, 2013
Published: June 25, 2013
Lixiang Geng, Qian Chen, Weixian Qian, and Yuzhen Zhang, "Scene-based Nonuniformity Correction Algorithm Based on Temporal Median Filter," J. Opt. Soc. Korea 17, 255-261 (2013)
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