文献类型：期刊文献

英文题名：Single Image Dehazing Based on the Physical Model and MSRCR Algorithm

作者：Wang, Jinbao[1];Lu, Ke[1];Xue, Jian[1];He, Ning[2];Shao, Ling[3]

第一作者：Wang, Jinbao

通讯作者：Xue, J[1]

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

第一机构：Univ Chinese Acad Sci, Beijing 100049, Peoples R China

通讯机构：[1]corresponding author), Univ Chinese Acad Sci, Beijing 100049, Peoples R China.

年份：2018

卷号：28

期号：9

起止页码：2190-2199

外文期刊名：IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

收录：;EI(收录号：20173704144359);Scopus(收录号：2-s2.0-85028875641);WOS:【SCI-EXPANDED(收录号:WOS:000444843100010)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 61671426, Grant 61471150, Grant 61370138, Grant 61572077, and Grant U1301251 and in part by the Beijing Municipal Natural Science Foundation under Grant 4141003, Grant 4152017, and Grant 4162027.

语种：英文

外文关键词：Dehazing; single image; physical model; MSRCR algorithm

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.