Frequency-domain scene-based non-uniformity correction and application to microgrid polarimeters

Wiley T. Black, Charles F. LaCasse IV, J Scott Tyo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Non-uniformity noise is common in infrared imagers, and is usually corrected through calibration, often by momentarily blocking the optical system with a relatively uniform temperature plate. The non-uniformity patterns also tend to drift and require periodic recalibration, necessitating occasional loss of video from the imager during the recalibration process. Microgrid polarimeters are especially sensitive to fixed-pattern noise because the polarization signal is acquired by differentiation of neighboring pixels. Scene-based algorithms attempt to alleviate the need for recalibration of the imager through image processing techniques. We introduce a new frequency-domain scene-based non-uniformity estimation and correction technique, and apply the technique to infrared and microgrid polarimeter imagery. The technique demonstrates promising results for shutter-assisted (recalibration) video, for microgrid polarization systems as well as most spatially modulated sensor systems.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Volume8160
DOIs
StatePublished - 2011
EventPolarization Science and Remote Sensing V - San Diego, CA, United States
Duration: Aug 21 2011Aug 22 2011

Other

OtherPolarization Science and Remote Sensing V
CountryUnited States
CitySan Diego, CA
Period8/21/118/22/11

Fingerprint

Nonuniformity Correction
Microgrid
Polarimeter
Polarimeters
polarimeters
Image sensors
nonuniformity
Frequency Domain
Non-uniformity
Imager
Polarization
Infrared radiation
Infrared
shutters
polarization
Optical systems
imagery
image processing
Image processing
Pixels

Keywords

  • Fixed-Pattern Noise
  • Long-wave infrared
  • Microgrid
  • Polarimetry
  • Scene-Based Non-Uniformity Correction

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

Cite this

Black, W. T., LaCasse IV, C. F., & Tyo, J. S. (2011). Frequency-domain scene-based non-uniformity correction and application to microgrid polarimeters. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 8160). [816003] https://doi.org/10.1117/12.893249

Frequency-domain scene-based non-uniformity correction and application to microgrid polarimeters. / Black, Wiley T.; LaCasse IV, Charles F.; Tyo, J Scott.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 8160 2011. 816003.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Black, WT, LaCasse IV, CF & Tyo, JS 2011, Frequency-domain scene-based non-uniformity correction and application to microgrid polarimeters. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 8160, 816003, Polarization Science and Remote Sensing V, San Diego, CA, United States, 8/21/11. https://doi.org/10.1117/12.893249
Black WT, LaCasse IV CF, Tyo JS. Frequency-domain scene-based non-uniformity correction and application to microgrid polarimeters. In Proceedings of SPIE - The International Society for Optical Engineering. Vol. 8160. 2011. 816003 https://doi.org/10.1117/12.893249
Black, Wiley T. ; LaCasse IV, Charles F. ; Tyo, J Scott. / Frequency-domain scene-based non-uniformity correction and application to microgrid polarimeters. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 8160 2011.
@inproceedings{8a2cac343e1d4c13a74c2c5b9ad28fb4,
title = "Frequency-domain scene-based non-uniformity correction and application to microgrid polarimeters",
abstract = "Non-uniformity noise is common in infrared imagers, and is usually corrected through calibration, often by momentarily blocking the optical system with a relatively uniform temperature plate. The non-uniformity patterns also tend to drift and require periodic recalibration, necessitating occasional loss of video from the imager during the recalibration process. Microgrid polarimeters are especially sensitive to fixed-pattern noise because the polarization signal is acquired by differentiation of neighboring pixels. Scene-based algorithms attempt to alleviate the need for recalibration of the imager through image processing techniques. We introduce a new frequency-domain scene-based non-uniformity estimation and correction technique, and apply the technique to infrared and microgrid polarimeter imagery. The technique demonstrates promising results for shutter-assisted (recalibration) video, for microgrid polarization systems as well as most spatially modulated sensor systems.",
keywords = "Fixed-Pattern Noise, Long-wave infrared, Microgrid, Polarimetry, Scene-Based Non-Uniformity Correction",
author = "Black, {Wiley T.} and {LaCasse IV}, {Charles F.} and Tyo, {J Scott}",
year = "2011",
doi = "10.1117/12.893249",
language = "English (US)",
isbn = "9780819487704",
volume = "8160",
booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",

}

TY - GEN

T1 - Frequency-domain scene-based non-uniformity correction and application to microgrid polarimeters

AU - Black, Wiley T.

AU - LaCasse IV, Charles F.

AU - Tyo, J Scott

PY - 2011

Y1 - 2011

N2 - Non-uniformity noise is common in infrared imagers, and is usually corrected through calibration, often by momentarily blocking the optical system with a relatively uniform temperature plate. The non-uniformity patterns also tend to drift and require periodic recalibration, necessitating occasional loss of video from the imager during the recalibration process. Microgrid polarimeters are especially sensitive to fixed-pattern noise because the polarization signal is acquired by differentiation of neighboring pixels. Scene-based algorithms attempt to alleviate the need for recalibration of the imager through image processing techniques. We introduce a new frequency-domain scene-based non-uniformity estimation and correction technique, and apply the technique to infrared and microgrid polarimeter imagery. The technique demonstrates promising results for shutter-assisted (recalibration) video, for microgrid polarization systems as well as most spatially modulated sensor systems.

AB - Non-uniformity noise is common in infrared imagers, and is usually corrected through calibration, often by momentarily blocking the optical system with a relatively uniform temperature plate. The non-uniformity patterns also tend to drift and require periodic recalibration, necessitating occasional loss of video from the imager during the recalibration process. Microgrid polarimeters are especially sensitive to fixed-pattern noise because the polarization signal is acquired by differentiation of neighboring pixels. Scene-based algorithms attempt to alleviate the need for recalibration of the imager through image processing techniques. We introduce a new frequency-domain scene-based non-uniformity estimation and correction technique, and apply the technique to infrared and microgrid polarimeter imagery. The technique demonstrates promising results for shutter-assisted (recalibration) video, for microgrid polarization systems as well as most spatially modulated sensor systems.

KW - Fixed-Pattern Noise

KW - Long-wave infrared

KW - Microgrid

KW - Polarimetry

KW - Scene-Based Non-Uniformity Correction

UR - http://www.scopus.com/inward/record.url?scp=80053953148&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=80053953148&partnerID=8YFLogxK

U2 - 10.1117/12.893249

DO - 10.1117/12.893249

M3 - Conference contribution

AN - SCOPUS:80053953148

SN - 9780819487704

VL - 8160

BT - Proceedings of SPIE - The International Society for Optical Engineering

ER -