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Feedback-integrated scene cancellation scene-based nonuniformity correction algorithm

[+] Author Affiliations
Wiley T. Black

University of Arizona, College of Optical Sciences, 1630 East University Boulevard, Tucson, Arizona 85721

J. Scott Tyo

University of Arizona, College of Optical Sciences, 1630 East University Boulevard, Tucson, Arizona 85721

J. Electron. Imaging. 23(2), 023005 (Mar 17, 2014). doi:10.1117/1.JEI.23.2.023005
History: Received November 4, 2013; Revised January 16, 2014; Accepted February 12, 2014
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Abstract.  A new registration-based scene-based nonuniformity correction (SBNUC) technique called the feedback-integrated scene cancellation (FiSC) method is introduced, which demonstrates an ability to correct both high- and low-spatial frequency nonuniformity (NU) in infrared focal plane arrays. The theory of scene-cancellation is further developed to include a referencing mechanism that allows spatially correlated NU to be corrected, and a practical method of application is developed. The algorithm is suitable for implementation in a real-time processing environment such as a digital signal processor. A new metric called normalized root mean-squared error for quantifying SBNUC performance is introduced and applied. When applied to real data from a cooled HgTeCd focal plane, the FiSC algorithm outperforms other SBNUC algorithms considered when provided with accurate frame-to-frame image registration. An SBNUC simulation is described and applied to several SBNUC algorithms. When the most realistic case including both high- and low-spatial frequency NU is simulated, the FiSC algorithm outperforms all others tested.

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Citation

Wiley T. Black and J. Scott Tyo
"Feedback-integrated scene cancellation scene-based nonuniformity correction algorithm", J. Electron. Imaging. 23(2), 023005 (Mar 17, 2014). ; http://dx.doi.org/10.1117/1.JEI.23.2.023005


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