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 +

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available