Imaging through scattering media based on semi-supervised learning-Reference-Cited by-同舟云学术

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Imaging through scattering media based on semi-supervised learning

Published:2020-10-26 Issue:31 Volume:59 Page:9850
ISSN:1559-128X
Container-title:Applied Optics
language:en
Short-container-title:Appl. Opt.

Author:

Yamazaki Kaoru,Horisaki Ryochi^ORCID,Tanida Jun^ORCID

Funder

Japan Society for the Promotion of Science

Precursory Research for Embryonic Science and Technology

Publisher

The Optical Society

Subject

Atomic and Molecular Physics, and Optics,Engineering (miscellaneous),Electrical and Electronic Engineering

Reference26 articles.

1. Controlling waves in space and time for imaging and focusing in complex media

2. Guidestar-assisted wavefront-shaping methods for focusing light into biological tissue

3. Focusing coherent light through opaque strongly scattering media

4. Image restoration through thin turbid layers by correlation with a known object

5. Feedback-based wavefront shaping

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1. Image reconstruction from speckle patterns on double diffusers condition by deep learning;Journal of Optics;2024-08-01

2. Single-shot enhanced imaging through multimode fiber based on self-learning networks;Applied Optics;2024-05-31

3. High-resolution restoration of solar images degraded by atmospheric turbulence effect using improved CycleGAN;New Astronomy;2023-07

4. Improving flat fluorescence microscopy in scattering tissue through deep learning strategies;Optics Express;2023-06-26

5. Super-resolution imaging through the diffuser in the near-infrared via physically-based learning;Optics and Lasers in Engineering;2022-12

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