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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...
Autores principales: | Xiao, Yifan, Guo, Zhixin, Veelaert, Peter, Philips, Wilfried |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
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 |
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