Phase imaging with an untrained neural network
Most of the neural networks proposed so far for computational imaging (CI) in optics employ a supervised training strategy, and thus need a large training set to optimize their weights and biases. Setting aside the requirements of environmental and system stability during many hours of data acquisit...
Main Authors: | , , , , , , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
Springer Science and Business Media LLC,
2020-06-23T15:25:24Z.
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Subjects: | |
Online Access: | Get fulltext |