Focus-aware and deep restoration network with transformer for multi-focus image fusion-Reference-Cited by-同舟云学术

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Focus-aware and deep restoration network with transformer for multi-focus image fusion

Published:2024-06 Issue: Volume:149 Page:104473
ISSN:1051-2004
Container-title:Digital Signal Processing
language:en
Short-container-title:Digital Signal Processing

Author:

Wang Changcheng,Yan Kaixiang,Zang Yongsheng,Zhou Dongming^ORCID,Nie Rencan

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference55 articles.

1. A convolutional neural network-based conditional random field model for structured multi-focus image fusion robust to noise;Bouzos;IEEE Trans. Image Process.,2023

2. Discriminative multi-view dynamic image fusion for cross-view 3-D action recognition;Wang;IEEE Trans. Neural Netw. Learn. Syst.,2021

3. Real-time multi-focus biomedical microscopic image fusion based on m-SegNet;Pei;IEEE Photonics J.,2021

4. Application of multifocus image fusion in visual power patrol inspection;Chen,2017

5. A focus measure in discrete cosine transform domain for multi-focus image fast fusion;Nie;Neurocomputing,2021

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. TMFIF:Transformer-based multi-focus image fusion;2024 5th International Conference on Computer Vision, Image and Deep Learning (CVIDL);2024-04-19

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