Polarimetric dehazing method for visibility improvement based on visible and infrared image fusion
Liang, Jian1,2; Zhang, Wenfei1,2; Ren, Liyong1; Ju, Haijuan1,2; Qu, Enshi1
刊名applied optics
2016-10-10
卷号55期号:29页码:8221-8226
关键词Demulsification Infrared imaging Polarimeters Visibility
ISSN号1559-128x
通讯作者ren, liyong (renliy@opt.ac.cn)
产权排序1
英文摘要

polarimetric dehazing methods have proven effective in enhancing the quality of chromatic hazy images. considering that the infrared radiance has a better capacity for traveling through the haze, in this paper we propose a polarimetric dehazing method based on visible and infrared image fusion to improve the visibility of hazy images, especially for dense haze conditions. experimental results demonstrate that the visibility of hazy images can be effectively enhanced, and the color information can be finely maintained. the visibility of dehazed images can be promoted at least 100%. this kind of dehazing method can be used widely in many dehazing applications. (c) 2016 optical society of america

学科主题data processing and image processing ; vision ; imaging techniques ; chemical operations ; optical instruments
WOS标题词science & technology ; physical sciences
类目[WOS]optics
研究领域[WOS]optics
关键词[WOS]polarization ; removal ; haze
收录类别SCI ; EI
语种英语
WOS记录号WOS:000385715900013
内容类型期刊论文
源URL[http://ir.opt.ac.cn/handle/181661/28381]  
专题西安光学精密机械研究所_信息光子学研究室
作者单位1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Xian 710119, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Liang, Jian,Zhang, Wenfei,Ren, Liyong,et al. Polarimetric dehazing method for visibility improvement based on visible and infrared image fusion[J]. applied optics,2016,55(29):8221-8226.
APA Liang, Jian,Zhang, Wenfei,Ren, Liyong,Ju, Haijuan,&Qu, Enshi.(2016).Polarimetric dehazing method for visibility improvement based on visible and infrared image fusion.applied optics,55(29),8221-8226.
MLA Liang, Jian,et al."Polarimetric dehazing method for visibility improvement based on visible and infrared image fusion".applied optics 55.29(2016):8221-8226.
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