Cargando…
High Speed Computational Ghost Imaging via Spatial Sweeping
Computational ghost imaging (CGI) achieves single-pixel imaging by using a Spatial Light Modulator (SLM) to generate structured illuminations for spatially resolved information encoding. The imaging speed of CGI is limited by the modulation frequency of available SLMs, and sets back its practical ap...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5372241/ https://www.ncbi.nlm.nih.gov/pubmed/28358010 http://dx.doi.org/10.1038/srep45325 |
_version_ | 1782518576085729280 |
---|---|
author | Wang, Yuwang Liu, Yang Suo, Jinli Situ, Guohai Qiao, Chang Dai, Qionghai |
author_facet | Wang, Yuwang Liu, Yang Suo, Jinli Situ, Guohai Qiao, Chang Dai, Qionghai |
author_sort | Wang, Yuwang |
collection | PubMed |
description | Computational ghost imaging (CGI) achieves single-pixel imaging by using a Spatial Light Modulator (SLM) to generate structured illuminations for spatially resolved information encoding. The imaging speed of CGI is limited by the modulation frequency of available SLMs, and sets back its practical applications. This paper proposes to bypass this limitation by trading off SLM’s redundant spatial resolution for multiplication of the modulation frequency. Specifically, a pair of galvanic mirrors sweeping across the high resolution SLM multiply the modulation frequency within the spatial resolution gap between SLM and the final reconstruction. A proof-of-principle setup with two middle end galvanic mirrors achieves ghost imaging as fast as 42 Hz at 80 × 80-pixel resolution, 5 times faster than state-of-the-arts, and holds potential for one magnitude further multiplication by hardware upgrading. Our approach brings a significant improvement in the imaging speed of ghost imaging and pushes ghost imaging towards practical applications. |
format | Online Article Text |
id | pubmed-5372241 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53722412017-03-31 High Speed Computational Ghost Imaging via Spatial Sweeping Wang, Yuwang Liu, Yang Suo, Jinli Situ, Guohai Qiao, Chang Dai, Qionghai Sci Rep Article Computational ghost imaging (CGI) achieves single-pixel imaging by using a Spatial Light Modulator (SLM) to generate structured illuminations for spatially resolved information encoding. The imaging speed of CGI is limited by the modulation frequency of available SLMs, and sets back its practical applications. This paper proposes to bypass this limitation by trading off SLM’s redundant spatial resolution for multiplication of the modulation frequency. Specifically, a pair of galvanic mirrors sweeping across the high resolution SLM multiply the modulation frequency within the spatial resolution gap between SLM and the final reconstruction. A proof-of-principle setup with two middle end galvanic mirrors achieves ghost imaging as fast as 42 Hz at 80 × 80-pixel resolution, 5 times faster than state-of-the-arts, and holds potential for one magnitude further multiplication by hardware upgrading. Our approach brings a significant improvement in the imaging speed of ghost imaging and pushes ghost imaging towards practical applications. Nature Publishing Group 2017-03-30 /pmc/articles/PMC5372241/ /pubmed/28358010 http://dx.doi.org/10.1038/srep45325 Text en Copyright © 2017, The Author(s) 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 to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Wang, Yuwang Liu, Yang Suo, Jinli Situ, Guohai Qiao, Chang Dai, Qionghai High Speed Computational Ghost Imaging via Spatial Sweeping |
title | High Speed Computational Ghost Imaging via Spatial Sweeping |
title_full | High Speed Computational Ghost Imaging via Spatial Sweeping |
title_fullStr | High Speed Computational Ghost Imaging via Spatial Sweeping |
title_full_unstemmed | High Speed Computational Ghost Imaging via Spatial Sweeping |
title_short | High Speed Computational Ghost Imaging via Spatial Sweeping |
title_sort | high speed computational ghost imaging via spatial sweeping |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5372241/ https://www.ncbi.nlm.nih.gov/pubmed/28358010 http://dx.doi.org/10.1038/srep45325 |
work_keys_str_mv | AT wangyuwang highspeedcomputationalghostimagingviaspatialsweeping AT liuyang highspeedcomputationalghostimagingviaspatialsweeping AT suojinli highspeedcomputationalghostimagingviaspatialsweeping AT situguohai highspeedcomputationalghostimagingviaspatialsweeping AT qiaochang highspeedcomputationalghostimagingviaspatialsweeping AT daiqionghai highspeedcomputationalghostimagingviaspatialsweeping |