Image Haze Removal Using Dark Channel Prior and Inverse Image

Image Haze Removal Using Dark Channel Prior and Inverse Image

Image haze removal using dark channel prior is prone to encountering color distortion in sky and brightness region. To solve the problem, we proposed an improved method based on inverse image and dark channel prior. Firstly, we applied inverse image to estimating a new transmission map. The new tran...

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Main Authors: Shi Lei, Cui Xiao, Yang Li, Gai Zhigang, Chu Shibo, Shi Jing
Format: Article
Language:English
Published: EDP Sciences 2016-01-01
Series:MATEC Web of Conferences
Online Access:http://dx.doi.org/10.1051/matecconf/20167503008
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spelling doaj-b466ea17c8c74cd0abb3fc011b6493c72021-02-02T01:06:08ZengEDP SciencesMATEC Web of Conferences2261-236X2016-01-01750300810.1051/matecconf/20167503008matecconf_icmie2016_03008Image Haze Removal Using Dark Channel Prior and Inverse ImageShi Lei0Cui Xiao1Yang Li2Gai Zhigang3Chu Shibo4Shi Jing5Institute of Oceanographic Instrumentation, Shandong Academy of SciencesInstitute of Oceanographic Instrumentation, Shandong Academy of SciencesInstitute of Oceanographic Instrumentation, Shandong Academy of SciencesInstitute of Oceanographic Instrumentation, Shandong Academy of SciencesInstitute of Oceanographic Instrumentation, Shandong Academy of SciencesLuoyang Institute of electro-optical devices, China Aviation Industry CorporationImage haze removal using dark channel prior is prone to encountering color distortion in sky and brightness region. To solve the problem, we proposed an improved method based on inverse image and dark channel prior. Firstly, we applied inverse image to estimating a new transmission map. The new transmission map can be used to modify original transmission map in order to avoid color distortion. Next, fast guider filter was applied to refining transmission map. Using the transmission map, we can recover a high quality haze-free image. Experimental results showed that the proposed method is feasible, and visibility can be enhanced.http://dx.doi.org/10.1051/matecconf/20167503008
collection DOAJ
language English
format Article
sources DOAJ
author Shi Lei
Cui Xiao
Yang Li
Gai Zhigang
Chu Shibo
Shi Jing
spellingShingle Shi Lei
Cui Xiao
Yang Li
Gai Zhigang
Chu Shibo
Shi Jing
Image Haze Removal Using Dark Channel Prior and Inverse Image
MATEC Web of Conferences
author_facet Shi Lei
Cui Xiao
Yang Li
Gai Zhigang
Chu Shibo
Shi Jing
author_sort Shi Lei
title Image Haze Removal Using Dark Channel Prior and Inverse Image
title_short Image Haze Removal Using Dark Channel Prior and Inverse Image
title_full Image Haze Removal Using Dark Channel Prior and Inverse Image
title_fullStr Image Haze Removal Using Dark Channel Prior and Inverse Image
title_full_unstemmed Image Haze Removal Using Dark Channel Prior and Inverse Image
title_sort image haze removal using dark channel prior and inverse image
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2016-01-01
description Image haze removal using dark channel prior is prone to encountering color distortion in sky and brightness region. To solve the problem, we proposed an improved method based on inverse image and dark channel prior. Firstly, we applied inverse image to estimating a new transmission map. The new transmission map can be used to modify original transmission map in order to avoid color distortion. Next, fast guider filter was applied to refining transmission map. Using the transmission map, we can recover a high quality haze-free image. Experimental results showed that the proposed method is feasible, and visibility can be enhanced.
url http://dx.doi.org/10.1051/matecconf/20167503008
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AT cuixiao imagehazeremovalusingdarkchannelpriorandinverseimage
AT yangli imagehazeremovalusingdarkchannelpriorandinverseimage
AT gaizhigang imagehazeremovalusingdarkchannelpriorandinverseimage
AT chushibo imagehazeremovalusingdarkchannelpriorandinverseimage
AT shijing imagehazeremovalusingdarkchannelpriorandinverseimage
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