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Mathematical Problems in Engineering
Volume 2018 (2018), Article ID 9241629, 8 pages
https://doi.org/10.1155/2018/9241629
Research Article

Fast Video Dehazing Using Per-Pixel Minimum Adjustment

1College of Information Engineering, Capital Normal University, Beijing, China
2Beijing Advanced Innovation Center for Imaging Technology, Beijing, China
3Beijing Engineering Research Center of High Reliable Embedded System, Beijing, China

Correspondence should be addressed to Yuanyuan Shang

Received 21 November 2017; Revised 5 January 2018; Accepted 11 January 2018; Published 12 February 2018

Academic Editor: Ionuț Munteanu

Copyright © 2018 Zhong Luan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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.