Colorization of infrared images based on feature fusion and contrastive learning-Reference-Cited by-同舟云学术

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Colorization of infrared images based on feature fusion and contrastive learning

Published:2023-03 Issue: Volume:162 Page:107395
ISSN:0143-8166
Container-title:Optics and Lasers in Engineering
language:en
Short-container-title:Optics and Lasers in Engineering

Author:

Chen Lingqiang,Liu Yuan^ORCID,He Yin,Xie Zhihua^ORCID,Sui Xiubao^ORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference48 articles.

1. Infrared colorization using deep convolutional neural networks;Limmer,2016

2. Infrared image colorization based on a triplet DCGANarchitecture;Suárez,2017

3. Thermal infrared colorization via conditional generative adversarial network;Kuang;Infrared Phys Technol,2020

4. Learning to colorize infrared images;Suárez,2017

5. Infrared image colorization using a S-shape network;Dong,2018

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A feature refinement and adaptive generative adversarial network for thermal infrared image colorization;Neural Networks;2024-05

2. Ultra-high Q resonances based on zero group-velocity modes accompanied by bound states in the continuum in 2D photonic crystal slabs;Optics Express;2024-04-08

3. Cross-domain colorization of unpaired infrared images through contrastive learning guided by color feature selection attention;Optics Express;2024-04-08

4. Infrared colorization with cross-modality zero-shot learning;Neurocomputing;2024-04

5. Contrastive learning with feature fusion for unpaired thermal infrared image colorization;Optics and Lasers in Engineering;2023-11

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