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Phase Extraction Neural Network (PhENN)

The Phase Extraction Neural Network (PhENN) is a deep learning architecture that can be trained to recover an unknown phase object from the raw intensity measurement obtained through a lensless phase imaging system.

Data and Resources

Cite this as

MO DENG, SHUAI LI, IKSUNG KANG, NICHOLAS X. FANG, GEORGE BARBASTATHIS (2024). Dataset: Phase Extraction Neural Network (PhENN). https://doi.org/10.57702/jrn2hkeu

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.1364/OE.395204
Author MO DENG
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SHUAI LI
IKSUNG KANG
NICHOLAS X. FANG
GEORGE BARBASTATHIS
Homepage https://arxiv.org/abs/2005.11117