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Neural network model assisted Fourier ptychography with Zernike aberration recovery and total variation constraint
Significance: Fourier ptychography (FP) is a computational imaging approach that achieves high-resolution reconstruction. Inspired by neural networks, many deep-learning-based methods are proposed to solve FP problems. However, the performance of FP still suffers from optical aberration, which needs...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Society of Photo-Optical Instrumentation Engineers
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8330837/ https://www.ncbi.nlm.nih.gov/pubmed/33768741 http://dx.doi.org/10.1117/1.JBO.26.3.036502 |