Haze removal network using unified function for image dehazing

Abstract The atmospheric scattering model includes two crucial parameters for dehazing: global atmospheric light and the transmission map. Most previous dehazing methods need to obtain these two parameters separately, which makes dehazing a difficult and ill‐posed problem. Here, a new unified functi...

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Autores principales:	Hyungseok Oh, Hyena Kim, Yejin Kim, Changhoon Yim
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2021
Materias:	Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/586a804a12df473c853446ede09354c3
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spelling	oai:doaj.org-article:586a804a12df473c853446ede09354c32021-11-16T10:18:22ZHaze removal network using unified function for image dehazing1350-911X0013-519410.1049/ell2.12035https://doaj.org/article/586a804a12df473c853446ede09354c32021-01-01T00:00:00Zhttps://doi.org/10.1049/ell2.12035https://doaj.org/toc/0013-5194https://doaj.org/toc/1350-911XAbstract The atmospheric scattering model includes two crucial parameters for dehazing: global atmospheric light and the transmission map. Most previous dehazing methods need to obtain these two parameters separately, which makes dehazing a difficult and ill‐posed problem. Here, a new unified function that includes both the crucial parameters for haze removal is proposed. Then the haze removal network, which now needs to learn only one function during training, is proposed. Image dehazing can be performed as a simple addition of the haze removal function with the input hazy image. Experimental results show that the proposed method gives better subjective results for indoor and outdoor synthesized images as well as natural images compared to previous state‐of‐the‐art methods. Quantitative evaluation results show that the proposed haze removal network gives improved objective results compared with the same previous methods.Hyungseok OhHyena KimYejin KimChanghoon YimWileyarticleElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENElectronics Letters, Vol 57, Iss 1, Pp 16-20 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Electrical engineering. Electronics. Nuclear engineering TK1-9971 Hyungseok Oh Hyena Kim Yejin Kim Changhoon Yim Haze removal network using unified function for image dehazing
description	Abstract The atmospheric scattering model includes two crucial parameters for dehazing: global atmospheric light and the transmission map. Most previous dehazing methods need to obtain these two parameters separately, which makes dehazing a difficult and ill‐posed problem. Here, a new unified function that includes both the crucial parameters for haze removal is proposed. Then the haze removal network, which now needs to learn only one function during training, is proposed. Image dehazing can be performed as a simple addition of the haze removal function with the input hazy image. Experimental results show that the proposed method gives better subjective results for indoor and outdoor synthesized images as well as natural images compared to previous state‐of‐the‐art methods. Quantitative evaluation results show that the proposed haze removal network gives improved objective results compared with the same previous methods.
format	article
author	Hyungseok Oh Hyena Kim Yejin Kim Changhoon Yim
author_facet	Hyungseok Oh Hyena Kim Yejin Kim Changhoon Yim
author_sort	Hyungseok Oh
title	Haze removal network using unified function for image dehazing
title_short	Haze removal network using unified function for image dehazing
title_full	Haze removal network using unified function for image dehazing
title_fullStr	Haze removal network using unified function for image dehazing
title_full_unstemmed	Haze removal network using unified function for image dehazing
title_sort	haze removal network using unified function for image dehazing
publisher	Wiley
publishDate	2021
url	https://doaj.org/article/586a804a12df473c853446ede09354c3
work_keys_str_mv	AT hyungseokoh hazeremovalnetworkusingunifiedfunctionforimagedehazing AT hyenakim hazeremovalnetworkusingunifiedfunctionforimagedehazing AT yejinkim hazeremovalnetworkusingunifiedfunctionforimagedehazing AT changhoonyim hazeremovalnetworkusingunifiedfunctionforimagedehazing
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Haze removal network using unified function for image dehazing

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