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典型文献
Nighttime image dehazing using color cast removal and dual path multi-scale fusion strategy
文献摘要:
Nighttime image dehazing aims to remove the effect of haze on the images captured in nighttime,which however,raises new challenges such as severe color distortion,more complex lighting conditions,and lower contrast.Instead of estimating the transmission map and atmospheric light that are difficult to be accurately acquired in nighttime,we propose a nighttime image dehazing method composed of a color cast removal and a dual path multi-scale fusion algorithm.We first propose a human visual system(HVS)inspired color correction model,which is effective for removing the color deviation on nighttime hazy images.Then,we propose to use dual path strategy that includes an underexposure and a contrast enhance-ment path for multi-scale fusion,where the weight maps are achieved by selecting appropriate exposed areas under Gaus-sian pyramids.Extensive experiments demonstrate that the visual effect of the hazy nighttime images in real-world datasets can be significantly improved by our method regarding contrast,color fidelity,and visibility.In addition,our method outperforms the state-of-the-art methods qualitatively and quantitatively.
文献关键词:
作者姓名:
Bo WANG;Li HU;Bowen WEI;Zitong KANG;Chongyi LI
作者机构:
School of Physics and Electronic-Electrical Engineering,Ningxia University,Yinchuan 750021,China;School of Computer Science and Engineering,Nanyang Technological University,Singapore 639798,Singapore
文献出处:
引用格式:
[1]Bo WANG;Li HU;Bowen WEI;Zitong KANG;Chongyi LI-.Nighttime image dehazing using color cast removal and dual path multi-scale fusion strategy)[J].计算机科学前沿,2022(04):142-154
A类:
Nighttime,underexposure,Gaus
B类:
dehazing,using,color,cast,removal,dual,path,multi,scale,fusion,strategy,aims,remove,haze,images,captured,nighttime,which,however,raises,new,challenges,such,severe,distortion,more,complex,lighting,conditions,lower,contrast,Instead,estimating,transmission,atmospheric,that,difficult,be,accurately,acquired,propose,composed,algorithm,We,first,human,visual,system,HVS,inspired,correction,model,effective,removing,deviation,hazy,Then,use,includes,enhance,where,weight,maps,achieved,by,selecting,appropriate,exposed,areas,sian,pyramids,Extensive,experiments,demonstrate,real,world,datasets,significantly,improved,our,regarding,fidelity,visibility,addition,outperforms,state,art,methods,qualitatively,quantitatively
AB值:
0.535664
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