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,
2021-11-23T17:02:45Z.
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Subjects: | |
Online Access: | Get fulltext |