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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Format: | Article |
Language: | zho |
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Editorial Department of Journal on Communications
2023-01-01
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Series: | Tongxin xuebao |
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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. |
format | Article |
id | doaj-art-baf0b480ea5e40d6a441056c1bb7cd9f |
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 |