Improving multi-focus image fusion through Noisy image and feature difference network-Reference-Cited by-同舟云学术

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Improving multi-focus image fusion through Noisy image and feature difference network

Published:2024-02 Issue: Volume:142 Page:104891
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

Pan Xin,Zhai Hao,Yang You,Chen Lianhua,Li Anyu

Funder

Chongqing Normal University

National Natural Science Foundation of China

Natural Science Foundation of Chongqing Municipality

Chongqing Municipal Education Commission

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference49 articles.

1. Zmff: zero-shot multi-focus image fusion;Hu;Information Fusion,2023

2. Deep learning-based multi-focus image fusion: a survey and a comparative study;Zhang;IEEE Trans. Pattern Anal. Mach. Intell.,2022

3. A simple and effective multi-focus image fusion method based on local standard deviations enhanced by the guided filter;You;Displays,2022

4. Multi-focus image fusion method using s-pcnn optimized by particle swarm optimization;Jin;Soft. Comput.,2018

5. Multi-focus image fusion by hessian matrix based decomposition;Xiao;IEEE Trans. Multimed.,2020

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. Unsupervised end-to-end multiscale neural network for multi-focus MicroLED image fusion;Physica Scripta;2024-09-03

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