TMFIF:Transformer-based multi-focus image fusion-Reference-Cited by-同舟云学术

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TMFIF:Transformer-based multi-focus image fusion

Published:2024-04-19 Issue: Volume: Page:244-247
ISSN:
Container-title:2024 5th International Conference on Computer Vision, Image and Deep Learning (CVIDL)
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Author:

Li Rui¹,Geng Shengling²,Zhang Dan³,Zhou Mingquan¹

Affiliation:

1. Qinghai Normal University,School of Computer Science,Xining,China

2. People’s Government of Qinghai Province & Beijing Normal University,Academy of Plateau Science and Sustainability,Xining,China

3. Qinghai Normal University,The State Key Laboratory of Tibetan Intelligent Information Processing and Application

Funder

Youth Foundation

Nature

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10603448/10603453/10603893.pdf?arnumber=10603893

Reference23 articles.

1. Multi-focus image fusion: A Survey of the state of the art

2. A novel image decomposition-based hybrid technique with super-resolution method for multi-focus image fusion

3. Multi-focus image fusion based on multi-scale focus measures and generalized random walk. In 2017 36th Chinese control conference (CCC);Ma

4. Multi-Focus Image Fusion Based on Spatial Frequency in Discrete Cosine Transform Domain

5. Deep Learning-based Multi-focus Image Fusion: A Survey and A Comparative Study

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