Resolution improvement and blur removal of light field data converted from hologram using deep learning

Dae Youl Park, Jae Hyeung Park

Research output: Contribution to journalConference articlepeer-review

Abstract

We propose a method to suppress blurring and improve spatial resolution of light field data using deep learning. The proposed method enhances the quality of the light field data extracted from a hologram, generating all-in-focus views over large depth range of the three-dimensional scene.

Original languageEnglish
Article numberDF4C.5
JournalOptics InfoBase Conference Papers
StatePublished - 2021
EventDigital Holography and Three-Dimensional Imaging, DH 2021 - Part of OSA Imaging and Applied Optics Congress 2021 - Virtual, Online, United States
Duration: 19 Jul 202123 Jul 2021

Bibliographical note

Publisher Copyright:
© OSA 2021.

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