Image dehazing method based on haze-line and color attenuation prior

To solve the problems caused by the existing image dehazing methods, such as color over-saturation, detail loss, and artifacts, a dehazing method was proposed based on haze-line and color attenuation prior.Firstly, haze-line prior and Hough vote were used to estimate the atmospheric light.Then, a no...

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Main Authors: Miao LIAO, Yan LU, Jin ZHANG, Yuqian ZHAO, Shuanhu DI
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2023-01-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023013/
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author Miao LIAO
Yan LU
Jin ZHANG
Yuqian ZHAO
Shuanhu DI
author_facet Miao LIAO
Yan LU
Jin ZHANG
Yuqian ZHAO
Shuanhu DI
author_sort Miao LIAO
collection DOAJ
description To solve the problems caused by the existing image dehazing methods, such as color over-saturation, detail loss, and artifacts, a dehazing method was proposed based on haze-line and color attenuation prior.Firstly, haze-line prior and Hough vote were used to estimate the atmospheric light.Then, a nonlinear model on scene depth was constructed according to color attenuation prior theory to achieve transmission accurately.Finally, the haze was removed from the image by inversely solving the atmospheric scattering model, so as to obtain the dehazed image with rich details.The proposed method was tested on public RESIDE dataset in comparison with many existing methods.Experimental results show that the proposed method can effectively remove the haze from image and obtain a clear and natural dehazed image, which has higher time and space efficiency than other methods.
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institution Kabale University
issn 1000-436X
language zho
publishDate 2023-01-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-baf0b480ea5e40d6a441056c1bb7cd9f2025-01-14T06:28:09ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2023-01-014421122259389195Image dehazing method based on haze-line and color attenuation priorMiao LIAOYan LUJin ZHANGYuqian ZHAOShuanhu DITo solve the problems caused by the existing image dehazing methods, such as color over-saturation, detail loss, and artifacts, a dehazing method was proposed based on haze-line and color attenuation prior.Firstly, haze-line prior and Hough vote were used to estimate the atmospheric light.Then, a nonlinear model on scene depth was constructed according to color attenuation prior theory to achieve transmission accurately.Finally, the haze was removed from the image by inversely solving the atmospheric scattering model, so as to obtain the dehazed image with rich details.The proposed method was tested on public RESIDE dataset in comparison with many existing methods.Experimental results show that the proposed method can effectively remove the haze from image and obtain a clear and natural dehazed image, which has higher time and space efficiency than other methods.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023013/image dehazinghaze-linescene depthatmospheric lighttransmission
spellingShingle Miao LIAO
Yan LU
Jin ZHANG
Yuqian ZHAO
Shuanhu DI
Image dehazing method based on haze-line and color attenuation prior
Tongxin xuebao
image dehazing
haze-line
scene depth
atmospheric light
transmission
title Image dehazing method based on haze-line and color attenuation prior
title_full Image dehazing method based on haze-line and color attenuation prior
title_fullStr Image dehazing method based on haze-line and color attenuation prior
title_full_unstemmed Image dehazing method based on haze-line and color attenuation prior
title_short Image dehazing method based on haze-line and color attenuation prior
title_sort image dehazing method based on haze line and color attenuation prior
topic image dehazing
haze-line
scene depth
atmospheric light
transmission
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023013/
work_keys_str_mv AT miaoliao imagedehazingmethodbasedonhazelineandcolorattenuationprior
AT yanlu imagedehazingmethodbasedonhazelineandcolorattenuationprior
AT jinzhang imagedehazingmethodbasedonhazelineandcolorattenuationprior
AT yuqianzhao imagedehazingmethodbasedonhazelineandcolorattenuationprior
AT shuanhudi imagedehazingmethodbasedonhazelineandcolorattenuationprior