An image dehazing algorithm based on double priors constraint
Aiming at the color distortion of the restored image in the sky region, we propose an image dehazing algorithm based on double priors constraint. Firstly, we divided the haze image into sky and non-sky regions. Then the Color-lines prior and dark channel prior are used for estimating the transmissio...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2018-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | https://doi.org/10.1051/matecconf/201818904009 |
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doaj-art-1d8a63c39bfb4a5a90060d3c62cea5dd2018-08-21T13:05:35ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-011890400910.1051/matecconf/201818904009matecconf_meamt2018_04009An image dehazing algorithm based on double priors constraintLiu KunWang ShipingHe LinyuanBi DuyanGao ShanAiming at the color distortion of the restored image in the sky region, we propose an image dehazing algorithm based on double priors constraint. Firstly, we divided the haze image into sky and non-sky regions. Then the Color-lines prior and dark channel prior are used for estimating the transmission of sky and non-sky regions respectively. After introducing color-lines prior to correct sky regions restored by the dark channel prior, we get an accurate transmission. Finally, the local media mean value and standard deviation are used to refine the transmission to obtain the dehazing image. Experimental results show that the algorithm has obvious advantages in the recovery of the sky area.https://doi.org/10.1051/matecconf/201818904009 |
| institution |
Open Data Bank |
| collection |
Open Access Journals |
| building |
Directory of Open Access Journals |
| language |
English |
| format |
Article |
| author |
Liu Kun Wang Shiping He Linyuan Bi Duyan Gao Shan |
| spellingShingle |
Liu Kun Wang Shiping He Linyuan Bi Duyan Gao Shan An image dehazing algorithm based on double priors constraint MATEC Web of Conferences |
| author_facet |
Liu Kun Wang Shiping He Linyuan Bi Duyan Gao Shan |
| author_sort |
Liu Kun |
| title |
An image dehazing algorithm based on double priors constraint |
| title_short |
An image dehazing algorithm based on double priors constraint |
| title_full |
An image dehazing algorithm based on double priors constraint |
| title_fullStr |
An image dehazing algorithm based on double priors constraint |
| title_full_unstemmed |
An image dehazing algorithm based on double priors constraint |
| title_sort |
image dehazing algorithm based on double priors constraint |
| publisher |
EDP Sciences |
| series |
MATEC Web of Conferences |
| issn |
2261-236X |
| publishDate |
2018-01-01 |
| description |
Aiming at the color distortion of the restored image in the sky region, we propose an image dehazing algorithm based on double priors constraint. Firstly, we divided the haze image into sky and non-sky regions. Then the Color-lines prior and dark channel prior are used for estimating the transmission of sky and non-sky regions respectively. After introducing color-lines prior to correct sky regions restored by the dark channel prior, we get an accurate transmission. Finally, the local media mean value and standard deviation are used to refine the transmission to obtain the dehazing image. Experimental results show that the algorithm has obvious advantages in the recovery of the sky area. |
| url |
https://doi.org/10.1051/matecconf/201818904009 |
| _version_ |
1612681151912083456 |