Single Image Dehazing Based on the Physical Model and MSRCR Algorithm

被引:122
作者
Wang, Jinbao [1 ]
Lu, Ke [1 ]
Xue, Jian [1 ]
He, Ning [2 ]
Shao, Ling [3 ]
机构
[1] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[2] Beijing Union Univ, Coll Informat Technol, Beijing 100101, Peoples R China
[3] Univ East Anglia, Sch Comp Sci, Norwich NR4 7TJ, Norfolk, England
基金
中国国家自然科学基金;
关键词
Dehazing; single image; physical model; MSRCR algorithm; DARK CHANNEL PRIOR; HAZE REMOVAL; MULTISCALE RETINEX; ENHANCEMENT; VISIBILITY; WEATHER; VISION;
D O I
10.1109/TCSVT.2017.2728822
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
To address the hazy weather image degradation problem, we propose a single image dehazing method based on a physical model and the brightness components of the image by using a multi-scale retinex with color restoration algorithm. The overall dehazing process involves three components, including the atmospheric light value calculation, transmission map estimation, and recovery of the hazy image scene radiance. Our contribution is that we propose a novel algorithm to dehaze a single image by calculating the atmospheric light value and computing the transmission map while considering the dynamic range of the image. Experimental results show that our algorithm can effectively improve the image quality degraded by foggy weather and retain sufficient image details.
引用
收藏
页码:2190 / 2199
页数:10
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