General Image Fusion for an Arbitrary Number of Inputs Using Convolutional Neural Networks

In this paper, we propose a unified and flexible framework for general image fusion tasks, including multi-exposure image fusion, multi-focus image fusion, infrared/visible image fusion, and multi-modality medical image fusion. Unlike other deep learning-based image fusion methods applied to a fixed...

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Detalles Bibliográficos
Autores principales: Xiao, Yifan, Guo, Zhixin, Veelaert, Peter, Philips, Wilfried
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002723/
https://www.ncbi.nlm.nih.gov/pubmed/35408072
http://dx.doi.org/10.3390/s22072457

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002723/
https://www.ncbi.nlm.nih.gov/pubmed/35408072
http://dx.doi.org/10.3390/s22072457

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