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Honeycomb Artifact Removal Using Convolutional Neural Network for Fiber Bundle Imaging
We present a new deep learning framework for removing honeycomb artifacts yielded by optical path blocking of cladding layers in fiber bundle imaging. The proposed framework, HAR-CNN, provides an end-to-end mapping from a raw fiber bundle image to an artifact-free image via a convolution neural netw...
| Autores principales: | , , , , |
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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/PMC9824069/ https://www.ncbi.nlm.nih.gov/pubmed/36616931 http://dx.doi.org/10.3390/s23010333 |