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Review of deep learning based de-noising algorithms for phase imaging and applications to high-speed coherent imaging

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Abstract

We present a review of deep-learning based algorithms dedicated to the processing of the speckle noise in phase imaging with a focus on the decorrelation phase noise. Applications to high-speed coherent imaging are discussed.

© 2021 The Author(s)

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More Like This
An iterative scheme based on deep learning combined with input noise estimator for phase data processing in digital holographic interferometry

Silvio Montresor, Marie Tahon, Antoine Laurent, and Pascal Picart
HTu4B.4 Digital Holography and Three-Dimensional Imaging (DH) 2020

Hyperspectral Image Analysis: From Conventional Model-based Algorithms towards Deep Learning

Behnood Rasti
HTh2B.2 Hyperspectral Imaging and Sounding of the Environment (HISE) 2021

Deep learning for snapshot compressive imaging

Xin Yuan
IW4A.1 Imaging Systems and Applications (ISA) 2021

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