LBP-BEGAN: A generative adversarial network architecture for infrared and visible image fusion-Reference-Cited by-同舟云学术

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LBP-BEGAN: A generative adversarial network architecture for infrared and visible image fusion

Published:2020-01 Issue: Volume:104 Page:103144
ISSN:1350-4495
Container-title:Infrared Physics & Technology
language:en
Short-container-title:Infrared Physics & Technology

Author:

Xu Jiangtao,Shi Xingping,Qin Shuzhen,Lu Kaige,Wang Han,Ma Jianguo

Funder

National Natural Science Foundation of China

Tianjin Research Program of Application Foundation and Advanced Technology

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference46 articles.

1. Infrared and visible image fusion methods and applications: a survey;Ma;Inform. Fusion,2019

2. A survey of infrared and visual image fusion methods;Jin;Infrared Phys. Technol.,2017

3. Integrated multilevel image fusion and match score fusion of visible and infrared face images for robust face recognition;Singh;Pattern Recogn.,2008

4. H. Ju, B. Bhanu, Fusion of color and infrared video for moving human detection, vol. 40, 2007.

5. Color transfer between images;Reinhard;IEEE Comput. Graph. Appl.,2002

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2. ResCCFusion: Infrared and visible image fusion network based on ResCC module and spatial criss-cross attention models;Infrared Physics & Technology;2024-01

3. Near-Infrared Image Colorization Using Unsupervised Contrastive Learning;Communications in Computer and Information Science;2024

4. Visible and Infrared Image Fusion Using Deep Learning;IEEE Transactions on Pattern Analysis and Machine Intelligence;2023-08

5. Deep learning methods for medical image fusion: A review;Computers in Biology and Medicine;2023-06

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