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Single-shot memory-effect video
Imaging through opaque scattering media is critically important in applications ranging from biological and astronomical imaging to metrology and security. While the random process of scattering in turbid media produces scattered light that appears uninformative to the human eye, a wealth of informa...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6128846/ https://www.ncbi.nlm.nih.gov/pubmed/30194338 http://dx.doi.org/10.1038/s41598-018-31697-8 |
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author | Li, Xiaohan Stevens, Andrew Greenberg, Joel A. Gehm, Michael E. |
author_facet | Li, Xiaohan Stevens, Andrew Greenberg, Joel A. Gehm, Michael E. |
author_sort | Li, Xiaohan |
collection | PubMed |
description | Imaging through opaque scattering media is critically important in applications ranging from biological and astronomical imaging to metrology and security. While the random process of scattering in turbid media produces scattered light that appears uninformative to the human eye, a wealth of information is contained in the signal and can be recovered using computational post-processing techniques. Recent studies have shown that statistical correlations present in the scattered light, known as ‘memory effects’, allow for diffraction-limited imaging through opaque media without detailed knowledge of (or access to) the source or scatterer. However, previous methods require that the object and/or scatterer be static during the measurement. We overcome this limitation by combining traditional memory effect imaging with coded-aperture-based computational imaging techniques, which enables us to realize for the first time single-shot video of arbitrary dynamic scenes through dynamic, opaque media. This has important implications for a wide range of real-world imaging scenarios. |
format | Online Article Text |
id | pubmed-6128846 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-61288462018-09-10 Single-shot memory-effect video Li, Xiaohan Stevens, Andrew Greenberg, Joel A. Gehm, Michael E. Sci Rep Article Imaging through opaque scattering media is critically important in applications ranging from biological and astronomical imaging to metrology and security. While the random process of scattering in turbid media produces scattered light that appears uninformative to the human eye, a wealth of information is contained in the signal and can be recovered using computational post-processing techniques. Recent studies have shown that statistical correlations present in the scattered light, known as ‘memory effects’, allow for diffraction-limited imaging through opaque media without detailed knowledge of (or access to) the source or scatterer. However, previous methods require that the object and/or scatterer be static during the measurement. We overcome this limitation by combining traditional memory effect imaging with coded-aperture-based computational imaging techniques, which enables us to realize for the first time single-shot video of arbitrary dynamic scenes through dynamic, opaque media. This has important implications for a wide range of real-world imaging scenarios. Nature Publishing Group UK 2018-09-07 /pmc/articles/PMC6128846/ /pubmed/30194338 http://dx.doi.org/10.1038/s41598-018-31697-8 Text en © The Author(s) 2018 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 Li, Xiaohan Stevens, Andrew Greenberg, Joel A. Gehm, Michael E. Single-shot memory-effect video |
title | Single-shot memory-effect video |
title_full | Single-shot memory-effect video |
title_fullStr | Single-shot memory-effect video |
title_full_unstemmed | Single-shot memory-effect video |
title_short | Single-shot memory-effect video |
title_sort | single-shot memory-effect video |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6128846/ https://www.ncbi.nlm.nih.gov/pubmed/30194338 http://dx.doi.org/10.1038/s41598-018-31697-8 |
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