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Lensless light-field imaging through diffuser encoding

Microlens array-based light-field imaging has been one of the most commonly used and effective technologies to record high-dimensional optical signals for developing various potential high-performance applications in many fields. However, the use of a microlens array generally suffers from an intrin...

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Autores principales: Cai, Zewei, Chen, Jiawei, Pedrini, Giancarlo, Osten, Wolfgang, Liu, Xiaoli, Peng, Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7438505/
https://www.ncbi.nlm.nih.gov/pubmed/32864118
http://dx.doi.org/10.1038/s41377-020-00380-x
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author Cai, Zewei
Chen, Jiawei
Pedrini, Giancarlo
Osten, Wolfgang
Liu, Xiaoli
Peng, Xiang
author_facet Cai, Zewei
Chen, Jiawei
Pedrini, Giancarlo
Osten, Wolfgang
Liu, Xiaoli
Peng, Xiang
author_sort Cai, Zewei
collection PubMed
description Microlens array-based light-field imaging has been one of the most commonly used and effective technologies to record high-dimensional optical signals for developing various potential high-performance applications in many fields. However, the use of a microlens array generally suffers from an intrinsic trade-off between the spatial and angular resolutions. In this paper, we concentrate on exploiting a diffuser to explore a novel modality for light-field imaging. We demonstrate that the diffuser can efficiently angularly couple incident light rays into a detected image without needing any lens. To characterize and analyse this phenomenon, we establish a diffuser-encoding light-field transmission model, in which four-dimensional light fields are mapped into two-dimensional images via a transmission matrix describing the light propagation through the diffuser. Correspondingly, a calibration strategy is designed to flexibly determine the transmission matrix, so that light rays can be computationally decoupled from a detected image with adjustable spatio-angular resolutions, which are unshackled from the resolution limitation of the sensor. The proof-of-concept approach indicates the possibility of using scattering media for lensless four-dimensional light-field recording and processing, not just for two- or three-dimensional imaging.
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spelling pubmed-74385052020-08-27 Lensless light-field imaging through diffuser encoding Cai, Zewei Chen, Jiawei Pedrini, Giancarlo Osten, Wolfgang Liu, Xiaoli Peng, Xiang Light Sci Appl Article Microlens array-based light-field imaging has been one of the most commonly used and effective technologies to record high-dimensional optical signals for developing various potential high-performance applications in many fields. However, the use of a microlens array generally suffers from an intrinsic trade-off between the spatial and angular resolutions. In this paper, we concentrate on exploiting a diffuser to explore a novel modality for light-field imaging. We demonstrate that the diffuser can efficiently angularly couple incident light rays into a detected image without needing any lens. To characterize and analyse this phenomenon, we establish a diffuser-encoding light-field transmission model, in which four-dimensional light fields are mapped into two-dimensional images via a transmission matrix describing the light propagation through the diffuser. Correspondingly, a calibration strategy is designed to flexibly determine the transmission matrix, so that light rays can be computationally decoupled from a detected image with adjustable spatio-angular resolutions, which are unshackled from the resolution limitation of the sensor. The proof-of-concept approach indicates the possibility of using scattering media for lensless four-dimensional light-field recording and processing, not just for two- or three-dimensional imaging. Nature Publishing Group UK 2020-08-19 /pmc/articles/PMC7438505/ /pubmed/32864118 http://dx.doi.org/10.1038/s41377-020-00380-x Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Cai, Zewei
Chen, Jiawei
Pedrini, Giancarlo
Osten, Wolfgang
Liu, Xiaoli
Peng, Xiang
Lensless light-field imaging through diffuser encoding
title Lensless light-field imaging through diffuser encoding
title_full Lensless light-field imaging through diffuser encoding
title_fullStr Lensless light-field imaging through diffuser encoding
title_full_unstemmed Lensless light-field imaging through diffuser encoding
title_short Lensless light-field imaging through diffuser encoding
title_sort lensless light-field imaging through diffuser encoding
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7438505/
https://www.ncbi.nlm.nih.gov/pubmed/32864118
http://dx.doi.org/10.1038/s41377-020-00380-x
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AT liuxiaoli lenslesslightfieldimagingthroughdiffuserencoding
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