An infrared and visible image fusion using knowledge measures for intuitionistic fuzzy sets and Swin Transformer-Reference-Cited by-同舟云学术

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An infrared and visible image fusion using knowledge measures for intuitionistic fuzzy sets and Swin Transformer

Published:2024-12 Issue: Volume:684 Page:121291
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Khan Muhammad Jabir^ORCID,Jiang Shu,Ding Weiping^ORCID,Huang Jiashuang,Wang Haipeng

Funder

University Natural Science Research Project of Anhui Province

Natural Science Foundation for Young Scientists of Shanxi Province

National Aerospace Science Foundation of China

Natural Science Research of Jiangsu Higher Education Institutions of China

Publisher

Elsevier BV

Reference48 articles.

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

2. Swinfusion: cross-domain long-range learning for general image fusion via swin transformer;Ma;IEEE/CAA J. Autom. Sin.,2022

3. IFCNN: a general image fusion framework based on convolutional neural network;Zhang;Inf. Fusion,2020

4. SwinFuse: a residual swin transformer fusion network for infrared and visible images;Wang;IEEE Trans. Instrum. Meas.,2022

5. GAN review: models and medical image fusion applications;Zhou;Inf. Fusion,2023

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