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Conferences > DH > 2023 > HTu3C > HTu3C.3

Deep learning aided Variational Hilbert Quantitative Phase Imaging

Maria Cywińska, Krzysztof Patorski, and Maciej Trusiak

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Abstract

This work discusses the use of neural networks to determine the result of quantitative phase measurement via 2D Hilbert transform. We propose two approaches for solving fringe pattern-based phase demodulation problem aiding quantitative phase imaging technology.

© 2023 The Author(s)

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