典型文献
CDP-GAN:Near-Infrared and Visible Image Fusion Via Color Distribution Preserved GAN
文献摘要：
Dear Editor,
This letter is concerned with dealing with the great discrepancy between near-infrared(NIR)and visible(VS)image fusion via color distribution preserved generative adversarial network(CDP-GAN).Different from the global discriminator in prior GAN,conflict of preserving NIR details and VS color is resolved by introducing an attention guidance mechanism into the discriminator.Moreover,perceptual loss with adaptive weights increases quality of high-frequency features and helps to eliminate noise appeared in VS image.Finally,experiments are given to validate the proposed me-thod.
文献关键词：
中图分类号：
作者姓名：
Jun Chen;Kangle Wu;Yang Yu;Linbo Luo
作者机构：
School of Automation,Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems,Engineering Research Center of Intelligent Technology for Geo-Exploration,Ministry of Education,China University of Geosciences,Wuhan 430074,China;Shanghai Institute of Technical Physics,Key Laboratory of Infrared System Detecting and Imaging Technology,Chinese Academy of Sciences,Shanghai 200083,China;School of Mechanical Engineering and Electronic Information,China University of Geosciences,Wuhan 430074,China
文献出处：
引用格式：
[1]Jun Chen;Kangle Wu;Yang Yu;Linbo Luo-.CDP-GAN:Near-Infrared and Visible Image Fusion Via Color Distribution Preserved GAN)[J].自动化学报（英文版）,2022(09):1698-1701
A类：
B类：
CDP,GAN,Near,Infrared,Visible,Image,Fusion,Via,Color,Distribution,Preserved,Dear,Editor,
This,letter,concerned,dealing,great,discrepancy,between,near,infrared,NIR,visible,VS,image,fusion,via,color,distribution,preserved,generative,adversarial,network,Different,from,global,discriminator,prior,conflict,preserving,details,resolved,by,introducing,attention,guidance,mechanism,into,Moreover,perceptual,loss,adaptive,weights,increases,quality,high,frequency,features,helps,eliminate,noise,appeared,Finally,experiments,given,validate,proposed,thod
AB值：
0.766625
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