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Adaptive convergence nonuniformity correction algorithm |
Applied Optics, Vol. 50, Issue 1, pp. 1-10 (2011)
http://dx.doi.org/10.1364/AO.50.000001
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Abstract
Nowadays, convergence and ghosting artifacts are common problems in scene-based nonuniformity correction (NUC) algorithms. In this study, we introduce the idea of space frequency to the scene-based NUC. Then the convergence speed factor is presented, which can adaptively change the convergence speed by a change of the scene dynamic range. In fact, the convergence speed factor role is to decrease the statistical data standard deviation. The nonuniformity space relativity characteristic was summarized by plenty of experimental statistical data. The space relativity characteristic was used to correct the convergence speed factor, which can make it more stable. Finally, real and simulated infrared image sequences were applied to demonstrate the positive effect of our algorithm.
© 2010 Optical Society of America
OCIS Codes
(100.2000) Image processing : Digital image processing
(110.3080) Imaging systems : Infrared imaging
ToC Category:
Image Processing
History
Original Manuscript: May 20, 2010
Revised Manuscript: October 11, 2010
Manuscript Accepted: October 21, 2010
Published: December 21, 2010
Citation
Weixian Qian, Qian Chen, Junqi Bai, and Guohua Gu, "Adaptive convergence nonuniformity correction algorithm," Appl. Opt. 50, 1-10 (2011)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-50-1-1
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