Outdoor image restoration based on belief propagation algorithm and formalized MTF
Single image dehazing technology can be applied to many fields. In order to solve this problem, an improved framework is proposed here, which can be used to estimate the light transmittance t in a given single input image and then the belief propagation (PB) algorithm is applied to image dehazing. A...
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| Published in | Journal of physics. Conference series Vol. 1651; no. 1; pp. 12168 - 12174 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
IOP Publishing
01.11.2020
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| Online Access | Get full text |
| ISSN | 1742-6588 1742-6596 1742-6596 |
| DOI | 10.1088/1742-6596/1651/1/012168 |
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| Abstract | Single image dehazing technology can be applied to many fields. In order to solve this problem, an improved framework is proposed here, which can be used to estimate the light transmittance t in a given single input image and then the belief propagation (PB) algorithm is applied to image dehazing. At first, a coarse transmission map is calculated through Dark Channel Prior (DCP) knowledge. Next, the belief propagation methodology is introduced to correct the transmission map when the object in degraded image is similar to the airlight over a large local region. As a result, the transmission map can be estimated better and the important drawback of artifacts phenomenon can be avoid to some extent. At last, through this effective estimation to transmittance, the formalized MTF can be predicted to restore degraded images, then the haze-free scene contrasts can be better recovered. The experimental analysis results show that compared with defogged images acquired through DCP algorithms, our proposed algorithm can provide good results. Our method is more effective and robust. |
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| AbstractList | Single image dehazing technology can be applied to many fields. In order to solve this problem, an improved framework is proposed here, which can be used to estimate the light transmittance t in a given single input image and then the belief propagation (PB) algorithm is applied to image dehazing. At first, a coarse transmission map is calculated through Dark Channel Prior (DCP) knowledge. Next, the belief propagation methodology is introduced to correct the transmission map when the object in degraded image is similar to the airlight over a large local region. As a result, the transmission map can be estimated better and the important drawback of artifacts phenomenon can be avoid to some extent. At last, through this effective estimation to transmittance, the formalized MTF can be predicted to restore degraded images, then the haze-free scene contrasts can be better recovered. The experimental analysis results show that compared with defogged images acquired through DCP algorithms, our proposed algorithm can provide good results. Our method is more effective and robust. |
| Author | Wu, Pengfei Lin, Xiaobin Zheng, Xin |
| Author_xml | – sequence: 1 givenname: Xin surname: Zheng fullname: Zheng, Xin email: zhengxpn@mail.ustc.edu.cn, zhengx920605@foxmail.com organization: Key Laboratory of Aperture Array and Space Application , China – sequence: 2 givenname: Xiaobin surname: Lin fullname: Lin, Xiaobin organization: Key Laboratory of Aperture Array and Space Application , China – sequence: 3 givenname: Pengfei surname: Wu fullname: Wu, Pengfei organization: Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences , China |
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| Cites_doi | 10.1007/s11263-006-7899-4 10.7551/mitpress/7132.001.0001 10.1109/TPAMI.2012.213 10.4028/www.scientific.net/AMM.409-410.1653 10.1023/A:1016328200723 10.1364/AO.58.000904 10.1109/TPAMI.1984.4767596 10.3788/gzxb20174608.0812005 10.3788/COL201210.020101 10.14257/ijmue.2015.10.3.02 10.1186/1687-6180-2012-1 10.1117/1.OE.52.4.046201 10.1145/1360612.1360671 10.1049/iet-ipr.2011.0472 10.1109/34.969114 |
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| Title | Outdoor image restoration based on belief propagation algorithm and formalized MTF |
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