Feedback-integrated scene cancellation scene-based nonuniformity correction algorithm

Wiley T. Black; J. Scott Tyo

doi:10.1117/1.JEI.23.2.023005

17 March 2014 Feedback-integrated scene cancellation scene-based nonuniformity correction algorithm

Wiley T. Black, J. Scott Tyo

Author Affiliations +

Funded by: Air Force Office of Scientific Research, US Air Force Office of Scientific Research (AFOSR)

Journal of Electronic Imaging, Vol. 23, Issue 2, 023005 (March 2014). https://doi.org/10.1117/1.JEI.23.2.023005

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.

Citation Download Citation

Wiley T. Black and J. Scott Tyo "Feedback-integrated scene cancellation scene-based nonuniformity correction algorithm," Journal of Electronic Imaging 23(2), 023005 (17 March 2014). https://doi.org/10.1117/1.JEI.23.2.023005

Published: 17 March 2014

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