Study of single image dehazing algorithm based on propagated filtering and minimum color channels
To solve the challenging problem that the edge regions of image have some remained hazes and blackspots,a novel image dehazing algorithm was proposed based on the minimal color channel and propagated filtering.Firstly,an initial atmospheric transmission map was obtained by double-area filtering,then...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2017-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017004/ |
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| _version_ | 1841539538432819200 |
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| author | Hong-zhong TANG Xiao-gang ZHANG Ling ZHU Hua CHEN Xiang WANG Xiao LI |
| author_facet | Hong-zhong TANG Xiao-gang ZHANG Ling ZHU Hua CHEN Xiang WANG Xiao LI |
| author_sort | Hong-zhong TANG |
| collection | DOAJ |
| description | To solve the challenging problem that the edge regions of image have some remained hazes and blackspots,a novel image dehazing algorithm was proposed based on the minimal color channel and propagated filtering.Firstly,an initial atmospheric transmission map was obtained by double-area filtering,then a minimal channel color was introduced as a reference image,and the propagated filtering was combined to optimize the initial atmospheric transmission map.Optimized transmission have the similar edge characteristics as the referenced image,so the deviation of transmission estimation can be effectively avoided for the edge pixels in the depth mutated regions,and the redundant texture information were removed in the initial transmission map.Finally,L-BFGS was used to restore atmospheric light,and the haze-free image can be recovered based on the atmospheric scattering model.Experimental results show that proposed algorithm has the more accurate transmission estimation for the depth mutated edge regions of image,so the recovered image effectively preserves the edges and details in the depth mutated regions,and has better spatial smoothness in the uniform depth regions.The recovered haze-free image with proposed method has a better sharpness and richer color degree. |
| format | Article |
| id | doaj-art-d0589bb999254b08920aa18fafa872be |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2017-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-d0589bb999254b08920aa18fafa872be2025-01-14T07:11:23ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2017-01-0138263459706463Study of single image dehazing algorithm based on propagated filtering and minimum color channelsHong-zhong TANGXiao-gang ZHANGLing ZHUHua CHENXiang WANGXiao LITo solve the challenging problem that the edge regions of image have some remained hazes and blackspots,a novel image dehazing algorithm was proposed based on the minimal color channel and propagated filtering.Firstly,an initial atmospheric transmission map was obtained by double-area filtering,then a minimal channel color was introduced as a reference image,and the propagated filtering was combined to optimize the initial atmospheric transmission map.Optimized transmission have the similar edge characteristics as the referenced image,so the deviation of transmission estimation can be effectively avoided for the edge pixels in the depth mutated regions,and the redundant texture information were removed in the initial transmission map.Finally,L-BFGS was used to restore atmospheric light,and the haze-free image can be recovered based on the atmospheric scattering model.Experimental results show that proposed algorithm has the more accurate transmission estimation for the depth mutated edge regions of image,so the recovered image effectively preserves the edges and details in the depth mutated regions,and has better spatial smoothness in the uniform depth regions.The recovered haze-free image with proposed method has a better sharpness and richer color degree.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017004/initial transmission mapminimum color channelpropagated filteringtransmission optimization |
| spellingShingle | Hong-zhong TANG Xiao-gang ZHANG Ling ZHU Hua CHEN Xiang WANG Xiao LI Study of single image dehazing algorithm based on propagated filtering and minimum color channels Tongxin xuebao initial transmission map minimum color channel propagated filtering transmission optimization |
| title | Study of single image dehazing algorithm based on propagated filtering and minimum color channels |
| title_full | Study of single image dehazing algorithm based on propagated filtering and minimum color channels |
| title_fullStr | Study of single image dehazing algorithm based on propagated filtering and minimum color channels |
| title_full_unstemmed | Study of single image dehazing algorithm based on propagated filtering and minimum color channels |
| title_short | Study of single image dehazing algorithm based on propagated filtering and minimum color channels |
| title_sort | study of single image dehazing algorithm based on propagated filtering and minimum color channels |
| topic | initial transmission map minimum color channel propagated filtering transmission optimization |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017004/ |
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