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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...

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Detalles Bibliográficos
Autores principales: Lv, Baolin, Tong, Shoufeng, Liu, Qiaoyuan, Sun, Haijiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
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.
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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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