张钧

个人信息

Personal information

副教授     硕士生导师

性别:男

在职信息:在职

所在单位:人工智能与自动化学院

学历:研究生(博士)毕业

学位:工学博士学位

毕业院校:华中科技大学

学科:模式识别与智能系统

Dehazing for images with sun in the sky
发布时间:2021-04-11  点击次数:

论文类型:期刊论文
第一作者:Fangyu Hu
通讯作者:马杰
合写作者:Bin Fang,Junfeng Ding,张钧
发表刊物:Journal of Electronic Imaging
学科门类:工学
文献类型:J
卷号:28
期号:4
页面范围:043016-1~17
关键字:image dehazing; atmospheric light map estimation; transmission map estimation
DOI码:10.1117/1.JEI.28.4.043016
发表时间:2019-07-11
摘要:Image dehazing is one of the most important image processing methods and it is widely used in daily application. A large number of dehazing algorithms have been proposed in recent years. In order to solve the problem that the dehazing performances of the classic dark channel prior methods for hazy images with the sun are bad, we propose a dehazing method for removing mist interference in images with the sun in the sky. An atmospheric scattering model is proposed to estimate the scattered light of the sun in the hazy circumstance. We also propose a gradient-based transmission map estimation method to estimate the refined transmission map accurately while reducing the computational complexity. The effectiveness of our method is confirmed by extensive experiments over a wide variety of images.