Fast Video Dehazing Using Per-Pixel Minimum Adjustment
To reduce the computational complexity and maintain the effect of video dehazing, a fast and accurate video dehazing method is presented. The preliminary transmission map is estimated by the minimum channel of each pixel. An adjustment parameter is designed to fix the transmission map to reduce colo...
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| Veröffentlicht in: | Mathematical problems in engineering 2018-01, Vol.2018 (2018), p.1-8 |
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| container_issue | 2018 |
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| container_title | Mathematical problems in engineering |
| container_volume | 2018 |
| creator | Shao, Zhuhong Shang, Yuanyuan Zeng, Hao Luan, Zhong Ding, Hui |
| description | To reduce the computational complexity and maintain the effect of video dehazing, a fast and accurate video dehazing method is presented. The preliminary transmission map is estimated by the minimum channel of each pixel. An adjustment parameter is designed to fix the transmission map to reduce color distortion in the sky area. We propose a new quad-tree method to estimate the atmospheric light. In video dehazing stage, we keep the atmospheric light unchanged in the same scene by a simple but efficient parameter, which describes the similarity of the interframe image content. By using this method, unexpected flickers are effectively eliminated. Experiments results show that the proposed algorithm greatly improved the efficiency of video dehazing and avoided halos and block effect. |
| doi_str_mv | 10.1155/2018/9241629 |
| format | Article |
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| source | Wiley Online Library Open Access; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection |
| subjects | Algorithms Efficiency Embedded systems Halos Intelligence International conferences Light Mathematical problems Neural networks Pixels Sky Video transmission |
| title | Fast Video Dehazing Using Per-Pixel Minimum Adjustment |
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