Abstract
High-fidelity Quantitative phase imaging (QPI) has been achieved via deep learning, but building large data set is expensive and time-consuming. We propose a novel framework for transport of intensity equation based phase retrieval using transfer learning. We show efficacy of the proposed method with accelerated training and increased accuracy.
© 2022 The Author(s)
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