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Statistical Scene-Based Non-Uniformity Correction Method with Interframe Registration
The non-uniform response in infrared focal plane array (IRFPA) detectors inevitably produces corrupted images with a fixed-pattern noise. In this paper, we present a novel and adaptive scene-based non-uniformity correction (NUC) method called Correction method with Statistical scene-based and Interf...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960549/ https://www.ncbi.nlm.nih.gov/pubmed/31817783 http://dx.doi.org/10.3390/s19245395 |
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author | Lv, Baolin Tong, Shoufeng Liu, Qiaoyuan Sun, Haijiang |
author_facet | Lv, Baolin Tong, Shoufeng Liu, Qiaoyuan Sun, Haijiang |
author_sort | Lv, Baolin |
collection | PubMed |
description | The non-uniform response in infrared focal plane array (IRFPA) detectors inevitably produces corrupted images with a fixed-pattern noise. In this paper, we present a novel and adaptive scene-based non-uniformity correction (NUC) method called Correction method with Statistical scene-based and Interframe Registration (CSIR), which realizes low delay calculation of correction coefficient for infrared image. This method combines the statistical method and registration method to achieve a better NUC performance. Specifically, CSIR estimates the gain coefficient with statistical method to give registration method an appropriate initial value. This combination method not only reduces the need of interactive pictures, which means lower time delay, but also achieves better performance compared to the statistical method and other single registration methods. To verify this, real non-uniformity infrared image sequences collected by ourselves were used, and the advantage of CSIR was compared thoroughly on frame number (corresponding to delay time) and accuracy. The results show that the proposed method could achieve a significantly fast and reliable fixed-pattern noise reduction with the effective gain and offset. |
format | Online Article Text |
id | pubmed-6960549 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-69605492020-01-23 Statistical Scene-Based Non-Uniformity Correction Method with Interframe Registration Lv, Baolin Tong, Shoufeng Liu, Qiaoyuan Sun, Haijiang Sensors (Basel) Article The non-uniform response in infrared focal plane array (IRFPA) detectors inevitably produces corrupted images with a fixed-pattern noise. In this paper, we present a novel and adaptive scene-based non-uniformity correction (NUC) method called Correction method with Statistical scene-based and Interframe Registration (CSIR), which realizes low delay calculation of correction coefficient for infrared image. This method combines the statistical method and registration method to achieve a better NUC performance. Specifically, CSIR estimates the gain coefficient with statistical method to give registration method an appropriate initial value. This combination method not only reduces the need of interactive pictures, which means lower time delay, but also achieves better performance compared to the statistical method and other single registration methods. To verify this, real non-uniformity infrared image sequences collected by ourselves were used, and the advantage of CSIR was compared thoroughly on frame number (corresponding to delay time) and accuracy. The results show that the proposed method could achieve a significantly fast and reliable fixed-pattern noise reduction with the effective gain and offset. MDPI 2019-12-06 /pmc/articles/PMC6960549/ /pubmed/31817783 http://dx.doi.org/10.3390/s19245395 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lv, Baolin Tong, Shoufeng Liu, Qiaoyuan Sun, Haijiang Statistical Scene-Based Non-Uniformity Correction Method with Interframe Registration |
title | Statistical Scene-Based Non-Uniformity Correction Method with Interframe Registration |
title_full | Statistical Scene-Based Non-Uniformity Correction Method with Interframe Registration |
title_fullStr | Statistical Scene-Based Non-Uniformity Correction Method with Interframe Registration |
title_full_unstemmed | Statistical Scene-Based Non-Uniformity Correction Method with Interframe Registration |
title_short | Statistical Scene-Based Non-Uniformity Correction Method with Interframe Registration |
title_sort | statistical scene-based non-uniformity correction method with interframe registration |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960549/ https://www.ncbi.nlm.nih.gov/pubmed/31817783 http://dx.doi.org/10.3390/s19245395 |
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