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Nonuniformity correction algorithm with efficient pixel offset estimation for infrared focal plane arrays

This paper presents an infrared focal plane array (IRFPA) response nonuniformity correction (NUC) algorithm which is easy to implement by hardware. The proposed NUC algorithm is based on the linear correction scheme with the useful method of pixel offset correction coefficients update. The new appro...

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Detalles Bibliográficos
Autor principal: Orżanowski, Tomasz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5074943/
https://www.ncbi.nlm.nih.gov/pubmed/27818869
http://dx.doi.org/10.1186/s40064-016-3534-1
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author Orżanowski, Tomasz
author_facet Orżanowski, Tomasz
author_sort Orżanowski, Tomasz
collection PubMed
description This paper presents an infrared focal plane array (IRFPA) response nonuniformity correction (NUC) algorithm which is easy to implement by hardware. The proposed NUC algorithm is based on the linear correction scheme with the useful method of pixel offset correction coefficients update. The new approach to IRFPA response nonuniformity correction consists in the use of pixel response change determined at the actual operating conditions in relation to the reference ones by means of shutter to compensate a pixel offset temporal drift. Moreover, it permits to remove any optics shading effect in the output image as well. To show efficiency of the proposed NUC algorithm some test results for microbolometer IRFPA are presented.
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spelling pubmed-50749432016-11-04 Nonuniformity correction algorithm with efficient pixel offset estimation for infrared focal plane arrays Orżanowski, Tomasz Springerplus Research This paper presents an infrared focal plane array (IRFPA) response nonuniformity correction (NUC) algorithm which is easy to implement by hardware. The proposed NUC algorithm is based on the linear correction scheme with the useful method of pixel offset correction coefficients update. The new approach to IRFPA response nonuniformity correction consists in the use of pixel response change determined at the actual operating conditions in relation to the reference ones by means of shutter to compensate a pixel offset temporal drift. Moreover, it permits to remove any optics shading effect in the output image as well. To show efficiency of the proposed NUC algorithm some test results for microbolometer IRFPA are presented. Springer International Publishing 2016-10-21 /pmc/articles/PMC5074943/ /pubmed/27818869 http://dx.doi.org/10.1186/s40064-016-3534-1 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research
Orżanowski, Tomasz
Nonuniformity correction algorithm with efficient pixel offset estimation for infrared focal plane arrays
title Nonuniformity correction algorithm with efficient pixel offset estimation for infrared focal plane arrays
title_full Nonuniformity correction algorithm with efficient pixel offset estimation for infrared focal plane arrays
title_fullStr Nonuniformity correction algorithm with efficient pixel offset estimation for infrared focal plane arrays
title_full_unstemmed Nonuniformity correction algorithm with efficient pixel offset estimation for infrared focal plane arrays
title_short Nonuniformity correction algorithm with efficient pixel offset estimation for infrared focal plane arrays
title_sort nonuniformity correction algorithm with efficient pixel offset estimation for infrared focal plane arrays
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5074943/
https://www.ncbi.nlm.nih.gov/pubmed/27818869
http://dx.doi.org/10.1186/s40064-016-3534-1
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