A Deep Fusion Rule for Infrared and Visible Image Fusion: Feature Communication for Importance Assessment-Reference-Cited by-同舟云学术

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A Deep Fusion Rule for Infrared and Visible Image Fusion: Feature Communication for Importance Assessment

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Lv Xuran¹,Cheng Jinyong¹,Lv Guohua¹,Wei Zhonghe¹

Affiliation:

1. Qilu University of Technology (Shandong Academy of Sciences),Jinan,China

Funder

Natural Science Foundation of Shandong Province

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10094911.pdf?arnumber=10094911

Reference22 articles.

1. RFN-Nest: An end-to-end residual fusion network for infrared and visible images

2. SwinFusion: Cross-domain Long-range Learning for General Image Fusion via Swin Transformer

3. Image fusion based on generative adversarial network consistent with perception

4. FusionGAN: A generative adversarial network for infrared and visible image fusion

5. Image Quality Assessment: From Error Visibility to Structural Similarity

Cited by 1 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. Enhancing Image Fusion via Optimized BAT Algorithm in Brovey transform for Remote Sensing Images;2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS);2024-04-18

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