Single image defogging based on fusion strategy
To effectively enhance the degraded foggy image, a single image defogging algorithm based on fusion strategy was proposed. The strategy does not require the atmospheric scattering model or scene structure, only needs the original degraded image to derive the inputs and weight maps. The function of t...
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Format: | Article |
Language: | zho |
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Editorial Department of Journal on Communications
2014-07-01
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Series: | Tongxin xuebao |
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Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.07.024/ |
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author | OFan GU Jin TANG Zi-xing CAI |
author_facet | OFan GU Jin TANG Zi-xing CAI |
author_sort | OFan GU |
collection | DOAJ |
description | To effectively enhance the degraded foggy image, a single image defogging algorithm based on fusion strategy was proposed. The strategy does not require the atmospheric scattering model or scene structure, only needs the original degraded image to derive the inputs and weight maps. The function of the two inputs is to correct color and enhance con-trast, and the three weight maps improve the detail information of the regions in dense fog. All the inputs and weight maps are fused by using fusion strategy to produce a high-contrast and vivid fog removal image. Besides, an index for defogging effect assessment is also proposed from the perspective of human visual perception, which provides a new so-lution to the problem of single image defogging and its effect assessment. Experimental results show that the proposed fusion strategy method can better improve the image quality for various foggy images. |
format | Article |
id | doaj-art-eaed1b70607a489f9c88da79215d77cc |
institution | Kabale University |
issn | 1000-436X |
language | zho |
publishDate | 2014-07-01 |
publisher | Editorial Department of Journal on Communications |
record_format | Article |
series | Tongxin xuebao |
spelling | doaj-art-eaed1b70607a489f9c88da79215d77cc2025-01-14T06:43:53ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2014-07-013519920759683065Single image defogging based on fusion strategyOFan GUJin TANGZi-xing CAITo effectively enhance the degraded foggy image, a single image defogging algorithm based on fusion strategy was proposed. The strategy does not require the atmospheric scattering model or scene structure, only needs the original degraded image to derive the inputs and weight maps. The function of the two inputs is to correct color and enhance con-trast, and the three weight maps improve the detail information of the regions in dense fog. All the inputs and weight maps are fused by using fusion strategy to produce a high-contrast and vivid fog removal image. Besides, an index for defogging effect assessment is also proposed from the perspective of human visual perception, which provides a new so-lution to the problem of single image defogging and its effect assessment. Experimental results show that the proposed fusion strategy method can better improve the image quality for various foggy images.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.07.024/imagedefoggingfusion strategymulti-scale |
spellingShingle | OFan GU Jin TANG Zi-xing CAI Single image defogging based on fusion strategy Tongxin xuebao image defogging fusion strategy multi-scale |
title | Single image defogging based on fusion strategy |
title_full | Single image defogging based on fusion strategy |
title_fullStr | Single image defogging based on fusion strategy |
title_full_unstemmed | Single image defogging based on fusion strategy |
title_short | Single image defogging based on fusion strategy |
title_sort | single image defogging based on fusion strategy |
topic | image defogging fusion strategy multi-scale |
url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.07.024/ |
work_keys_str_mv | AT ofangu singleimagedefoggingbasedonfusionstrategy AT jintang singleimagedefoggingbasedonfusionstrategy AT zixingcai singleimagedefoggingbasedonfusionstrategy |