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Detail Preserving Low Illumination Image and Video Enhancement Algorithm Based on Dark Channel Prior
In low illumination situations, insufficient light in the monitoring device results in poor visibility of effective information, which cannot meet practical applications. To overcome the above problems, a detail preserving low illumination video image enhancement algorithm based on dark channel prio...
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/PMC8747644/ https://www.ncbi.nlm.nih.gov/pubmed/35009629 http://dx.doi.org/10.3390/s22010085 |
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author | Guo, Lingli Jia, Zhenhong Yang, Jie Kasabov, Nikola K. |
author_facet | Guo, Lingli Jia, Zhenhong Yang, Jie Kasabov, Nikola K. |
author_sort | Guo, Lingli |
collection | PubMed |
description | In low illumination situations, insufficient light in the monitoring device results in poor visibility of effective information, which cannot meet practical applications. To overcome the above problems, a detail preserving low illumination video image enhancement algorithm based on dark channel prior is proposed in this paper. First, a dark channel refinement method is proposed, which is defined by imposing a structure prior to the initial dark channel to improve the image brightness. Second, an anisotropic guided filter (AnisGF) is used to refine the transmission, which preserves the edges of the image. Finally, a detail enhancement algorithm is proposed to avoid the problem of insufficient detail in the initial enhancement image. To avoid video flicker, the next video frames are enhanced based on the brightness of the first enhanced frame. Qualitative and quantitative analysis shows that the proposed algorithm is superior to the contrast algorithm, in which the proposed algorithm ranks first in average gradient, edge intensity, contrast, and patch-based contrast quality index. It can be effectively applied to the enhancement of surveillance video images and for wider computer vision applications. |
format | Online Article Text |
id | pubmed-8747644 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87476442022-01-11 Detail Preserving Low Illumination Image and Video Enhancement Algorithm Based on Dark Channel Prior Guo, Lingli Jia, Zhenhong Yang, Jie Kasabov, Nikola K. Sensors (Basel) Article In low illumination situations, insufficient light in the monitoring device results in poor visibility of effective information, which cannot meet practical applications. To overcome the above problems, a detail preserving low illumination video image enhancement algorithm based on dark channel prior is proposed in this paper. First, a dark channel refinement method is proposed, which is defined by imposing a structure prior to the initial dark channel to improve the image brightness. Second, an anisotropic guided filter (AnisGF) is used to refine the transmission, which preserves the edges of the image. Finally, a detail enhancement algorithm is proposed to avoid the problem of insufficient detail in the initial enhancement image. To avoid video flicker, the next video frames are enhanced based on the brightness of the first enhanced frame. Qualitative and quantitative analysis shows that the proposed algorithm is superior to the contrast algorithm, in which the proposed algorithm ranks first in average gradient, edge intensity, contrast, and patch-based contrast quality index. It can be effectively applied to the enhancement of surveillance video images and for wider computer vision applications. MDPI 2021-12-23 /pmc/articles/PMC8747644/ /pubmed/35009629 http://dx.doi.org/10.3390/s22010085 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 | Article Guo, Lingli Jia, Zhenhong Yang, Jie Kasabov, Nikola K. Detail Preserving Low Illumination Image and Video Enhancement Algorithm Based on Dark Channel Prior |
title | Detail Preserving Low Illumination Image and Video Enhancement Algorithm Based on Dark Channel Prior |
title_full | Detail Preserving Low Illumination Image and Video Enhancement Algorithm Based on Dark Channel Prior |
title_fullStr | Detail Preserving Low Illumination Image and Video Enhancement Algorithm Based on Dark Channel Prior |
title_full_unstemmed | Detail Preserving Low Illumination Image and Video Enhancement Algorithm Based on Dark Channel Prior |
title_short | Detail Preserving Low Illumination Image and Video Enhancement Algorithm Based on Dark Channel Prior |
title_sort | detail preserving low illumination image and video enhancement algorithm based on dark channel prior |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747644/ https://www.ncbi.nlm.nih.gov/pubmed/35009629 http://dx.doi.org/10.3390/s22010085 |
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