Polarimetric Dehazing Method Based on Image Fusion and Adaptive Adjustment Algorithm

To improve the robustness of current polarimetric dehazing scheme in the condition of low degree of polarization, we report a polarimetric dehazing method based on the image fusion technique and adaptive adjustment algorithm which can operate well in many different conditions. A splitting focus plan...

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Autores principales:	Yu Lei, Bing Lei, Yubo Cai, Chao Gao, Fujie Wang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	polarimetric imaging image dehazing Fourier transform image fusion adaptive adjustment algorithm Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/263d0c2a9a5b477e8be29ff5e1a290d4
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id	oai:doaj.org-article:263d0c2a9a5b477e8be29ff5e1a290d4
record_format	dspace
spelling	oai:doaj.org-article:263d0c2a9a5b477e8be29ff5e1a290d42021-11-11T15:07:17ZPolarimetric Dehazing Method Based on Image Fusion and Adaptive Adjustment Algorithm10.3390/app1121100402076-3417https://doaj.org/article/263d0c2a9a5b477e8be29ff5e1a290d42021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/10040https://doaj.org/toc/2076-3417To improve the robustness of current polarimetric dehazing scheme in the condition of low degree of polarization, we report a polarimetric dehazing method based on the image fusion technique and adaptive adjustment algorithm which can operate well in many different conditions. A splitting focus plane linear polarization camera was employed to grab the images of four different polarization directions, and the haze was separated from the hazy images by low-pass filtering roughly. Then the image fusion technique was used to optimize the method of estimating the transmittance map. To improve the quality of the dehazed images, an adaptive adjustment algorithm was introduced to adjust the illumination distribution of the dehazed images. The outdoor experiments have been implemented and the results indicated that the presented method could restore the target information obviously, and both the visual effect and quantitative evaluation have been enhanced.Yu LeiBing LeiYubo CaiChao GaoFujie WangMDPI AGarticlepolarimetric imagingimage dehazingFourier transformimage fusionadaptive adjustment algorithmTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10040, p 10040 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	polarimetric imaging image dehazing Fourier transform image fusion adaptive adjustment algorithm Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	polarimetric imaging image dehazing Fourier transform image fusion adaptive adjustment algorithm Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Yu Lei Bing Lei Yubo Cai Chao Gao Fujie Wang Polarimetric Dehazing Method Based on Image Fusion and Adaptive Adjustment Algorithm
description	To improve the robustness of current polarimetric dehazing scheme in the condition of low degree of polarization, we report a polarimetric dehazing method based on the image fusion technique and adaptive adjustment algorithm which can operate well in many different conditions. A splitting focus plane linear polarization camera was employed to grab the images of four different polarization directions, and the haze was separated from the hazy images by low-pass filtering roughly. Then the image fusion technique was used to optimize the method of estimating the transmittance map. To improve the quality of the dehazed images, an adaptive adjustment algorithm was introduced to adjust the illumination distribution of the dehazed images. The outdoor experiments have been implemented and the results indicated that the presented method could restore the target information obviously, and both the visual effect and quantitative evaluation have been enhanced.
format	article
author	Yu Lei Bing Lei Yubo Cai Chao Gao Fujie Wang
author_facet	Yu Lei Bing Lei Yubo Cai Chao Gao Fujie Wang
author_sort	Yu Lei
title	Polarimetric Dehazing Method Based on Image Fusion and Adaptive Adjustment Algorithm
title_short	Polarimetric Dehazing Method Based on Image Fusion and Adaptive Adjustment Algorithm
title_full	Polarimetric Dehazing Method Based on Image Fusion and Adaptive Adjustment Algorithm
title_fullStr	Polarimetric Dehazing Method Based on Image Fusion and Adaptive Adjustment Algorithm
title_full_unstemmed	Polarimetric Dehazing Method Based on Image Fusion and Adaptive Adjustment Algorithm
title_sort	polarimetric dehazing method based on image fusion and adaptive adjustment algorithm
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/263d0c2a9a5b477e8be29ff5e1a290d4
work_keys_str_mv	AT yulei polarimetricdehazingmethodbasedonimagefusionandadaptiveadjustmentalgorithm AT binglei polarimetricdehazingmethodbasedonimagefusionandadaptiveadjustmentalgorithm AT yubocai polarimetricdehazingmethodbasedonimagefusionandadaptiveadjustmentalgorithm AT chaogao polarimetricdehazingmethodbasedonimagefusionandadaptiveadjustmentalgorithm AT fujiewang polarimetricdehazingmethodbasedonimagefusionandadaptiveadjustmentalgorithm
_version_	1718437112767840256

Polarimetric Dehazing Method Based on Image Fusion and Adaptive Adjustment Algorithm

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