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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 50, Iss. 1 — Jan. 1, 2011
  • pp: 1–10

Adaptive convergence nonuniformity correction algorithm

Weixian Qian, Qian Chen, Junqi Bai, and Guohua Gu  »View Author Affiliations


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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