Feedback-integrated scene cancellation scene-based nonuniformity correction algorithm

Wiley T. Black, J Scott Tyo

Research output: Contribution to journalArticle

8 Citations (Scopus)

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.

Original languageEnglish (US)
Article number023005
JournalJournal of Electronic Imaging
Volume23
Issue number2
DOIs
StatePublished - 2014

Fingerprint

nonuniformity
cancellation
Feedback
Focal plane arrays
Image registration
Digital signal processors
Infrared radiation
focal plane devices
central processing units
Processing
simulation

Keywords

  • fixed-pattern noise
  • infrared
  • long-wave infrared
  • nonuniformity correction
  • scene-based nonuniformity correction

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Atomic and Molecular Physics, and Optics

Cite this

Feedback-integrated scene cancellation scene-based nonuniformity correction algorithm. / Black, Wiley T.; Tyo, J Scott.

In: Journal of Electronic Imaging, Vol. 23, No. 2, 023005, 2014.

Research output: Contribution to journalArticle

@article{f7e743acdcae442285c78962119debc3,
title = "Feedback-integrated scene cancellation scene-based nonuniformity correction algorithm",
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.",
keywords = "fixed-pattern noise, infrared, long-wave infrared, nonuniformity correction, scene-based nonuniformity correction",
author = "Black, {Wiley T.} and Tyo, {J Scott}",
year = "2014",
doi = "10.1117/1.JEI.23.2.023005",
language = "English (US)",
volume = "23",
journal = "Journal of Electronic Imaging",
issn = "1017-9909",
publisher = "SPIE",
number = "2",

}

TY - JOUR

T1 - Feedback-integrated scene cancellation scene-based nonuniformity correction algorithm

AU - Black, Wiley T.

AU - Tyo, J Scott

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

KW - fixed-pattern noise

KW - infrared

KW - long-wave infrared

KW - nonuniformity correction

KW - scene-based nonuniformity correction

UR - http://www.scopus.com/inward/record.url?scp=84896985514&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84896985514&partnerID=8YFLogxK

U2 - 10.1117/1.JEI.23.2.023005

DO - 10.1117/1.JEI.23.2.023005

M3 - Article

AN - SCOPUS:84896985514

VL - 23

JO - Journal of Electronic Imaging

JF - Journal of Electronic Imaging

SN - 1017-9909

IS - 2

M1 - 023005

ER -