Robust Single-Image Dehazing
This paper proposes a new single-image dehazing method, which is an important preprocessing step in vision applications to overcome the limitations of the conventional dark channel prior. The dark channel prior has a tendency to underestimate transmissions of bright regions or objects that can gener...
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MDPI AG
2021
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oai:doaj.org-article:d68f030007874048bfa8699b01c31f112021-11-11T15:38:56ZRobust Single-Image Dehazing10.3390/electronics102126362079-9292https://doaj.org/article/d68f030007874048bfa8699b01c31f112021-10-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/21/2636https://doaj.org/toc/2079-9292This paper proposes a new single-image dehazing method, which is an important preprocessing step in vision applications to overcome the limitations of the conventional dark channel prior. The dark channel prior has a tendency to underestimate transmissions of bright regions or objects that can generate color distortions during the process of dehazing. In order to suppress the distortions in a large sky area or a bright white object, the sky probabilities and the white-object probabilities calculated in the non-sky area are proposed. The sky area is detected by combining the advantages of a region-based and a boundary-based sky segmentation in order to consider various sky shapes in road scenes. The performance of the proposed methods is evaluated using synthetic and real-world datasets. When compared to conventional methods in the reviewed literature, the proposed method produces significant improvements concerning visual and numerical criteria.Changwon KimMDPI AGarticledehazesky detectiondark channel priorsky probabilitywhite objectElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2636, p 2636 (2021) |
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dehaze sky detection dark channel prior sky probability white object Electronics TK7800-8360 |
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dehaze sky detection dark channel prior sky probability white object Electronics TK7800-8360 Changwon Kim Robust Single-Image Dehazing |
description |
This paper proposes a new single-image dehazing method, which is an important preprocessing step in vision applications to overcome the limitations of the conventional dark channel prior. The dark channel prior has a tendency to underestimate transmissions of bright regions or objects that can generate color distortions during the process of dehazing. In order to suppress the distortions in a large sky area or a bright white object, the sky probabilities and the white-object probabilities calculated in the non-sky area are proposed. The sky area is detected by combining the advantages of a region-based and a boundary-based sky segmentation in order to consider various sky shapes in road scenes. The performance of the proposed methods is evaluated using synthetic and real-world datasets. When compared to conventional methods in the reviewed literature, the proposed method produces significant improvements concerning visual and numerical criteria. |
format |
article |
author |
Changwon Kim |
author_facet |
Changwon Kim |
author_sort |
Changwon Kim |
title |
Robust Single-Image Dehazing |
title_short |
Robust Single-Image Dehazing |
title_full |
Robust Single-Image Dehazing |
title_fullStr |
Robust Single-Image Dehazing |
title_full_unstemmed |
Robust Single-Image Dehazing |
title_sort |
robust single-image dehazing |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/d68f030007874048bfa8699b01c31f11 |
work_keys_str_mv |
AT changwonkim robustsingleimagedehazing |
_version_ |
1718434700628852736 |