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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer International Publishing
2016
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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. |
format | Online Article Text |
id | pubmed-5074943 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT orzanowskitomasz nonuniformitycorrectionalgorithmwithefficientpixeloffsetestimationforinfraredfocalplanearrays |