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Visibility Restoration: A Systematic Review and Meta-Analysis
Image acquisition is a complex process that is affected by a wide variety of internal and environmental factors. Hence, visibility restoration is crucial for many high-level applications in photography and computer vision. This paper provides a systematic review and meta-analysis of visibility resto...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8069147/ https://www.ncbi.nlm.nih.gov/pubmed/33918021 http://dx.doi.org/10.3390/s21082625 |
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author | Ngo, Dat Lee, Seungmin Ngo, Tri Minh Lee, Gi-Dong Kang, Bongsoon |
author_facet | Ngo, Dat Lee, Seungmin Ngo, Tri Minh Lee, Gi-Dong Kang, Bongsoon |
author_sort | Ngo, Dat |
collection | PubMed |
description | Image acquisition is a complex process that is affected by a wide variety of internal and environmental factors. Hence, visibility restoration is crucial for many high-level applications in photography and computer vision. This paper provides a systematic review and meta-analysis of visibility restoration algorithms with a focus on those that are pertinent to poor weather conditions. This paper starts with an introduction to optical image formation and then provides a comprehensive description of existing algorithms as well as a comparative evaluation. Subsequently, there is a thorough discussion on current difficulties that are worthy of a scientific effort. Moreover, this paper proposes a general framework for visibility restoration in hazy weather conditions while using haze-relevant features and maximum likelihood estimates. Finally, a discussion on the findings and future developments concludes this paper. |
format | Online Article Text |
id | pubmed-8069147 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-80691472021-04-26 Visibility Restoration: A Systematic Review and Meta-Analysis Ngo, Dat Lee, Seungmin Ngo, Tri Minh Lee, Gi-Dong Kang, Bongsoon Sensors (Basel) Systematic Review Image acquisition is a complex process that is affected by a wide variety of internal and environmental factors. Hence, visibility restoration is crucial for many high-level applications in photography and computer vision. This paper provides a systematic review and meta-analysis of visibility restoration algorithms with a focus on those that are pertinent to poor weather conditions. This paper starts with an introduction to optical image formation and then provides a comprehensive description of existing algorithms as well as a comparative evaluation. Subsequently, there is a thorough discussion on current difficulties that are worthy of a scientific effort. Moreover, this paper proposes a general framework for visibility restoration in hazy weather conditions while using haze-relevant features and maximum likelihood estimates. Finally, a discussion on the findings and future developments concludes this paper. MDPI 2021-04-08 /pmc/articles/PMC8069147/ /pubmed/33918021 http://dx.doi.org/10.3390/s21082625 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Systematic Review Ngo, Dat Lee, Seungmin Ngo, Tri Minh Lee, Gi-Dong Kang, Bongsoon Visibility Restoration: A Systematic Review and Meta-Analysis |
title | Visibility Restoration: A Systematic Review and Meta-Analysis |
title_full | Visibility Restoration: A Systematic Review and Meta-Analysis |
title_fullStr | Visibility Restoration: A Systematic Review and Meta-Analysis |
title_full_unstemmed | Visibility Restoration: A Systematic Review and Meta-Analysis |
title_short | Visibility Restoration: A Systematic Review and Meta-Analysis |
title_sort | visibility restoration: a systematic review and meta-analysis |
topic | Systematic Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8069147/ https://www.ncbi.nlm.nih.gov/pubmed/33918021 http://dx.doi.org/10.3390/s21082625 |
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