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Imaging With Nature: Compressive Imaging Using a Multiply Scattering Medium
The recent theory of compressive sensing leverages upon the structure of signals to acquire them with much fewer measurements than was previously thought necessary, and certainly well below the traditional Nyquist-Shannon sampling rate. However, most implementations developed to take advantage of th...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4087920/ https://www.ncbi.nlm.nih.gov/pubmed/25005695 http://dx.doi.org/10.1038/srep05552 |
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author | Liutkus, Antoine Martina, David Popoff, Sébastien Chardon, Gilles Katz, Ori Lerosey, Geoffroy Gigan, Sylvain Daudet, Laurent Carron, Igor |
author_facet | Liutkus, Antoine Martina, David Popoff, Sébastien Chardon, Gilles Katz, Ori Lerosey, Geoffroy Gigan, Sylvain Daudet, Laurent Carron, Igor |
author_sort | Liutkus, Antoine |
collection | PubMed |
description | The recent theory of compressive sensing leverages upon the structure of signals to acquire them with much fewer measurements than was previously thought necessary, and certainly well below the traditional Nyquist-Shannon sampling rate. However, most implementations developed to take advantage of this framework revolve around controlling the measurements with carefully engineered material or acquisition sequences. Instead, we use the natural randomness of wave propagation through multiply scattering media as an optimal and instantaneous compressive imaging mechanism. Waves reflected from an object are detected after propagation through a well-characterized complex medium. Each local measurement thus contains global information about the object, yielding a purely analog compressive sensing method. We experimentally demonstrate the effectiveness of the proposed approach for optical imaging by using a 300-micrometer thick layer of white paint as the compressive imaging device. Scattering media are thus promising candidates for designing efficient and compact compressive imagers. |
format | Online Article Text |
id | pubmed-4087920 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-40879202014-07-10 Imaging With Nature: Compressive Imaging Using a Multiply Scattering Medium Liutkus, Antoine Martina, David Popoff, Sébastien Chardon, Gilles Katz, Ori Lerosey, Geoffroy Gigan, Sylvain Daudet, Laurent Carron, Igor Sci Rep Article The recent theory of compressive sensing leverages upon the structure of signals to acquire them with much fewer measurements than was previously thought necessary, and certainly well below the traditional Nyquist-Shannon sampling rate. However, most implementations developed to take advantage of this framework revolve around controlling the measurements with carefully engineered material or acquisition sequences. Instead, we use the natural randomness of wave propagation through multiply scattering media as an optimal and instantaneous compressive imaging mechanism. Waves reflected from an object are detected after propagation through a well-characterized complex medium. Each local measurement thus contains global information about the object, yielding a purely analog compressive sensing method. We experimentally demonstrate the effectiveness of the proposed approach for optical imaging by using a 300-micrometer thick layer of white paint as the compressive imaging device. Scattering media are thus promising candidates for designing efficient and compact compressive imagers. Nature Publishing Group 2014-07-09 /pmc/articles/PMC4087920/ /pubmed/25005695 http://dx.doi.org/10.1038/srep05552 Text en Copyright © 2014, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Liutkus, Antoine Martina, David Popoff, Sébastien Chardon, Gilles Katz, Ori Lerosey, Geoffroy Gigan, Sylvain Daudet, Laurent Carron, Igor Imaging With Nature: Compressive Imaging Using a Multiply Scattering Medium |
title | Imaging With Nature: Compressive Imaging Using a Multiply Scattering Medium |
title_full | Imaging With Nature: Compressive Imaging Using a Multiply Scattering Medium |
title_fullStr | Imaging With Nature: Compressive Imaging Using a Multiply Scattering Medium |
title_full_unstemmed | Imaging With Nature: Compressive Imaging Using a Multiply Scattering Medium |
title_short | Imaging With Nature: Compressive Imaging Using a Multiply Scattering Medium |
title_sort | imaging with nature: compressive imaging using a multiply scattering medium |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4087920/ https://www.ncbi.nlm.nih.gov/pubmed/25005695 http://dx.doi.org/10.1038/srep05552 |
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