Instant haze removal from a single image

被引:8
作者
Li, Lirong [1 ,2 ]
Sang, Hongshi [1 ]
Zhou, Gang [3 ]
Zhao, Nan [2 ]
Wu, Danwen [2 ]
机构
[1] Huazhong Univ Sci & Technol, Sci & Technol Multispectral Informat Proc Lab, Wuhan 430074, Peoples R China
[2] Hubei Univ Technol, Hubei Collaborat Innovat Ctr High Efficiency Util, Wuhan 430068, Peoples R China
[3] Huazhong Univ Sci & Technol, State Key Lab Mat Proc & Die & Mould Technol, Wuhan 430074, Peoples R China
关键词
Bad weather; Single image; Haze removal; Atmospheric imaging model; Atmospheric optics; Transmission; VISION;
D O I
10.1016/j.infrared.2017.04.021
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
Images captured in bad weather are usually be degraded compared to those in clear days. For this, we draw on atmospheric optics and we propose a simple but powerful approach to remove haze from a single image based on imaging model under atmospheric scattering. For images with nearby objects under dense fog or distant objects under mild fog, we estimate the scene structure as transmission from the image model based on the optical irradiance characteristic which depends solely on its depth. Moreover, we present a reliable statistical principle for estimating global atmospheric light. Incorporating these two estimations into the haze imaging model, we can recover the contrast and color quality as well as that of a haze-free image. Experimental results on a variety of hazy images have shown the power of the methodology. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:156 / 163
页数:8
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