Algorithm for foggy image enhancement based on the total variational Retinex and gradient domain

Considering the preservation of color constancy and the improvement of contrast ratio of foggy image en-hancement, the foggy image enhancement algorithm based on the total variational Retinex gradient domain method was proposed. Firstly, the algorithm used the GS(Gauss-Seidel)iterative method to res...

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Main Authors: Bing-quan CHEN, Hong-li LIU
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2014-06-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.06.018/
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author Bing-quan CHEN
Hong-li LIU
author_facet Bing-quan CHEN
Hong-li LIU
author_sort Bing-quan CHEN
collection DOAJ
description Considering the preservation of color constancy and the improvement of contrast ratio of foggy image en-hancement, the foggy image enhancement algorithm based on the total variational Retinex gradient domain method was proposed. Firstly, the algorithm used the GS(Gauss-Seidel)iterative method to resolve the Retinex variational energy functional so that the color constancy was remained and the operational velocity of the proposed algorithm was improved. Secondly, the algorithm stretched strongly the gradient of the higher light blocks in the foggy image by combining the relative gradient and the absolute gradient, and reconstructed the foggy enhancement images with the context of least squares and extended the enhancement method to process the color images. Lastly, the enhancement images by using the total variational Retinex method and the gradient domain algorithm were fused weightedly to keep the color constancy and improve the contrast ratio. The experimental results show that the proposed algorithm can effectively improve the image's contrast and definition,the algorithm could keep better color constancy and high color fidelity.
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institution Kabale University
issn 1000-436X
language zho
publishDate 2014-06-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-811059451ce44eccacfea6f59195572d2025-01-14T06:43:36ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2014-06-013513914759682255Algorithm for foggy image enhancement based on the total variational Retinex and gradient domainBing-quan CHENHong-li LIUConsidering the preservation of color constancy and the improvement of contrast ratio of foggy image en-hancement, the foggy image enhancement algorithm based on the total variational Retinex gradient domain method was proposed. Firstly, the algorithm used the GS(Gauss-Seidel)iterative method to resolve the Retinex variational energy functional so that the color constancy was remained and the operational velocity of the proposed algorithm was improved. Secondly, the algorithm stretched strongly the gradient of the higher light blocks in the foggy image by combining the relative gradient and the absolute gradient, and reconstructed the foggy enhancement images with the context of least squares and extended the enhancement method to process the color images. Lastly, the enhancement images by using the total variational Retinex method and the gradient domain algorithm were fused weightedly to keep the color constancy and improve the contrast ratio. The experimental results show that the proposed algorithm can effectively improve the image's contrast and definition,the algorithm could keep better color constancy and high color fidelity.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.06.018/foggy imageimages enhancementRetinex algorithmgradient domain
spellingShingle Bing-quan CHEN
Hong-li LIU
Algorithm for foggy image enhancement based on the total variational Retinex and gradient domain
Tongxin xuebao
foggy image
images enhancement
Retinex algorithm
gradient domain
title Algorithm for foggy image enhancement based on the total variational Retinex and gradient domain
title_full Algorithm for foggy image enhancement based on the total variational Retinex and gradient domain
title_fullStr Algorithm for foggy image enhancement based on the total variational Retinex and gradient domain
title_full_unstemmed Algorithm for foggy image enhancement based on the total variational Retinex and gradient domain
title_short Algorithm for foggy image enhancement based on the total variational Retinex and gradient domain
title_sort algorithm for foggy image enhancement based on the total variational retinex and gradient domain
topic foggy image
images enhancement
Retinex algorithm
gradient domain
url http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.06.018/
work_keys_str_mv AT bingquanchen algorithmforfoggyimageenhancementbasedonthetotalvariationalretinexandgradientdomain
AT hongliliu algorithmforfoggyimageenhancementbasedonthetotalvariationalretinexandgradientdomain