文献类型：期刊文献

英文题名：Single image dehazing with a physical model and dark channel prior

作者：Wang, Jin-Bao[1];He, Ning[1];Zhang, Lu-Lu[1];Lu, Ke[2]

第一作者：Wang, Jin-Bao

通讯作者：He, N[1]

机构：[1]Beijing Union Univ, Coll Informat Technol, Beijing Key Lab Informat Serv Engn, Beijing 100101, Peoples R China;[2]Chinese Acad Sci, Beijing 100049, Peoples R China

第一机构：北京联合大学北京市信息服务工程重点实验室|北京联合大学智慧城市学院

通讯机构：[1]corresponding author), Beijing Union Univ, Coll Informat Technol, Beijing Key Lab Informat Serv Engn, Beijing 100101, Peoples R China.|[1141734]北京联合大学智慧城市学院;[11417]北京联合大学;[11417103]北京联合大学北京市信息服务工程重点实验室;

年份：2015

卷号：149

期号：PB

起止页码：718-728

外文期刊名：NEUROCOMPUTING

收录：;EI(收录号：20150700515260);Scopus(收录号：2-s2.0-85027943846);WOS:【SCI-EXPANDED(收录号:WOS:000346550300026)】；

基金：This work was supported by the Natural Science Foundation of China (Grant nos. 61370138, 61271435, 61103130, U1301251); National Program on Key Basic Research Projects (973 programs) (Grant nos. 2010CB731804-1, 2011CB706901-4); Project of Construction of Innovative Teams and Teacher Career Development for Universities and Colleges under Beijing Municipality (Nos. IDHT20130513, CIT&TCD20130513), and Beijing Municipal Natural Science Foundation (No. 4141003).

语种：英文

外文关键词：Dehaze; Single image; Atmospheric light value; Transmission map; Variogram

摘要：We propose a single image dehazing method that is based on a physical model and the dark channel prior principle. The selection of an atmospheric light value is directly responsible for the color authenticity and contrast of the resulting image. Our choice of atmospheric light is based on a variogram, which slowly weakens areas in the image that do not conform to the dark channel prior. Additionally, we propose a fast transmission estimation algorithm to shorten the processing time. Along with a subjective evaluation, the image quality was also evaluated using three indicators: MSE, PSNR, and average gradient. Our experimental results show that the proposed method can obtain accurate dehazing results and improve the operational efficiency. (C) 2014 Elsevier B.V. All rights reserved..