Analysis of Phase-Extraction Neural Network (PhENN) performance for lensless quantitative phase imaging
© 2019 SPIE. PhENN is a convolutional deep neural network that reconstructs quantitative phase images from diffracted intensity measurements some distance away from the phase objects. PhENN is trained on known phase-intensity pairs created from a particular database (e.g. ImageNet) but then found to...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SPIE
2021
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| Online Access: | https://hdl.handle.net/1721.1/136718 |