DAE-Nest: A depth information extraction and enhancement fusion network for infrared and visible images-Reference-Cited by-同舟云学术

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DAE-Nest: A depth information extraction and enhancement fusion network for infrared and visible images

Published:2024-06 Issue: Volume:560 Page:130441
ISSN:0030-4018
Container-title:Optics Communications
language:en
Short-container-title:Optics Communications

Author:

Shi Peicheng^ORCID,Mao Fei,Zhang Rongyun

Publisher

Elsevier BV

Reference49 articles.

1. Image fusion meets deep learning: a survey and perspective;Zhang;Inf. Fusion,2021

2. Generative adversarial nets;Goodfellow;Adv. Neural Inf. Process. Syst.,2014

3. Fast-FMI: non-reference image fusion metric;Haghighat,2014

4. Pixel convolutional neural network for multi-focus image fusion;Tang;Inf. Sci.,2018

5. GeFuNet: a knowledge-guided deep network for the infrared and visible image fusion;Su;Infrared Phys. Technol.,2022

Cited by 2 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. WaveFusionNet: Infrared and visible image fusion based on multi-scale feature encoder–decoder and discrete wavelet decomposition;Optics Communications;2024-12

2. HFHFusion: A Heterogeneous Feature Highlighted method for infrared and visible image fusion;Optics Communications;2024-11

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