Transport of Intensity Equation based Phase Retrieval Using Deep Transfer Learning

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.