SwinMFF: toward high-fidelity end-to-end multi-focus image fusion via swin transformer-based network

Xinzhe Xie; Buyu Guo; Peiliang Li; Shuangyan He; Sangjun Zhou

doi:10.1007/s00371-024-03637-3

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SwinMFF: toward high-fidelity end-to-end multi-focus image fusion via swin transformer-based network

Xinzhe Xie Buyu Guo Peiliang Li Shuangyan He Sangjun Zhou

Year: 2024 Journal: The Visual Computer Vol: 41 (6)Pages: 3883-3906 Publisher: Springer Science+Business Media

DOI: 10.1007/s00371-024-03637-3

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Keywords:

End-to-end principle Computer science High fidelity Computer graphics Fidelity Focus (optics) Computer graphics (images) Transformer Artificial intelligence Computer vision Engineering Telecommunications Electrical engineering Optics

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Advanced Image Fusion Techniques

Physical Sciences → Engineering → Media Technology

Image Enhancement Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Photoacoustic and Ultrasonic Imaging

Physical Sciences → Engineering → Biomedical Engineering

SwinMFF: toward high-fidelity end-to-end multi-focus image fusion via swin transformer-based network

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