Improving the quality of light‐field data extracted from a hologram using deep learning
Author:
Affiliation:
1. Digital Holography Research Section, Electronics and Telecommunications Research Institute Daejeon Republic of Korea
2. Media Research Division Electronics and Telecommunications Research Institute Daejeon Republic of Korea
Abstract
Funder
Electronics and Telecommunications Research Institute
Publisher
Wiley
Subject
Electrical and Electronic Engineering,General Computer Science,Electronic, Optical and Magnetic Materials
Link
https://onlinelibrary.wiley.com/doi/pdf/10.4218/etrij.2022-0441
Reference22 articles.
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3. Y.Wu V.Boominathan H.Chen A.Sankaranarayanan andA.Veeraraghavan PhaseCam3D—Learning phase masks for passive single view depth estimation (2019 IEEE Int. Conf. Comput. Photography (ICCP) Tokyo) 2019 pp.1–12.
4. Focus prediction in digital holographic microscopy using deep convolutional neural networks
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