CDP-GAN:Near-Infrared and Visible Image Fusion Via Color Distribution Preserved GAN

被引：1

作者：

Jun Chen ^{[1
]}

Kangle Wu ^{[1
]}

Yang Yu ^{[2
]}

Linbo Luo ^{[3
]}

机构：

[1] the School of Automation, Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Engineering Research Center of Intelligent Technology for GeoExploration, Ministry of Education, China University of Geosciences

[2] the Shanghai Institute of Technical Physics, Key Laboratory of Infrared System Detecting and Imaging Technology, Chinese Academy of Sciences

[3] the School of Mechanical Engineering and Electronic Information, China University of Geosciences

来源：

IEEE/CAAJournalofAutomaticaSinica | 2022年 / 9卷 / 09期

关键词：

D O I：

暂无

中图分类号：

TP391.41 [];

学科分类号：

080203 ;

摘要：

<正>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,

引用

页码：1698 / 1701

页数：4

共 10 条

[1]

Single Image Rain Removal Using Image Decomposition and a Dense Network[J]. Qiusheng Lian,Wenfeng Yan,Xiaohua Zhang,Shuzhen Chen.IEEE/CAA Journal of Automatica Sinica. 2019(06)

[2]

Recent Advances in Image Dehazing[J]. Wencheng Wang,Xiaohui Yuan.IEEE/CAA Journal of Automatica Sinica. 2017(03)

[3]

Image fusion meets deep learning: A survey and perspective[J] . Zhang Hao,Xu Han,Tian Xin,Jiang Junjun,Ma Jiayi.Information Fusion . 2021

[4]

SDNet: A Versatile Squeeze-and-Decomposition Network for Real-Time Image Fusion[J] . Zhang, Hao,Ma, Jiayi.International Journal of Computer Vision . 2021 (10)

[5]

GAN-FM: Infrared and Visible Image Fusion Using GAN With Full-Scale Skip Connection and Dual Markovian Discriminators[J] . Zhang Hao,Yuan Jiteng,Tian Xin,Ma Jiayi.IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING . 2021

[6]

U2Fusion: A Unified Unsupervised Image Fusion Network[J] . Xu Han,Ma Jiayi,Jiang Junjun,Guo Xiaojie,Ling Haibin.IEEE transactions on pattern analysis and machine intelligence . 2020

[7]

PBR-Net: Imitating Physically Based Rendering using Deep Neural Network[J] . Dai Peng,Li Zhuwen,Zhang Yinda,Liu Shuaicheng,Zeng Bing.IEEE transactions on image processing : a publication of the IEEE Signal Processing Society . 2020

[8]

IFCNN: A general image fusion framework based on convolutional neural network[J] . Yu Zhang,Yu Liu,Peng Sun,Han Yan,Xiaolin Zhao,Li Zhang.Information Fusion . 2020 (C)

[9]

FusionGAN: A generative adversarial network for infrared and visible image fusion[J] . Jiayi Ma,Wei Yu,Pengwei Liang,Chang Li,Junjun Jiang.Information Fusion . 2018

[10] Visible and NIR image fusion using weight-map-guided Laplacian–Gaussian pyramid for improving scene visibility [J].

Ashish V Vanmali ;

Vikram M Gadre .

Sādhanā, 2017, 42 :1063-1082

← 1 →