Fast Video Dehazing Using Per-Pixel Minimum Adjustment

Zhong Luan, Hao Zeng, Yuanyuan Shang, Zhuhong Shao and Hui Ding

Mathematical Problems in Engineering, 2018, vol. 2018, 1-8

Abstract:

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.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:9241629

DOI: 10.1155/2018/9241629

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