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Real-Time Hyperspectral Video Acquisition with Coded Slits
We propose a real-time hyperspectral video acquisition system that uses coded slits. Conventional imaging spectrometers usually have scanning mechanisms that reduce the temporal resolution or sacrifice the spatial resolution to acquire spectral information instantly. Recently, computational spectral...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838899/ https://www.ncbi.nlm.nih.gov/pubmed/35161568 http://dx.doi.org/10.3390/s22030822 |
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author | Tang, Guoliang Wang, Zi Liu, Shijie Li, Chunlai Wang, Jianyu |
author_facet | Tang, Guoliang Wang, Zi Liu, Shijie Li, Chunlai Wang, Jianyu |
author_sort | Tang, Guoliang |
collection | PubMed |
description | We propose a real-time hyperspectral video acquisition system that uses coded slits. Conventional imaging spectrometers usually have scanning mechanisms that reduce the temporal resolution or sacrifice the spatial resolution to acquire spectral information instantly. Recently, computational spectral imaging has been applied to realize high-speed or high-performance spectral imaging. However, the most current computational spectral imaging systems take a long time to reconstruct spectral data cubes from limited measurements, which limits real-time hyperspectral video acquisition. In this work, we propose a new computational spectral imaging system. We substitute the slit in a conventional scanning-based imaging spectrometer with coded slits, which can achieve the parallel acquisition of spectral data and thus an imaging speed that is several times higher. We also apply an electronically controlled translation stage to use different codes at each exposure level. The larger amount of data allows for fast reconstruction through matrix inversion. To solve the problem of a trade-off between imaging speed and image quality in high-speed spectral imaging, we analyze the noise in the system. The severe readout noise in our system is suppressed with S-matrix coding. Finally, we build a practical prototype that can acquire hyperspectral video with a high spatial resolution and a high signal-to-noise ratio at 5 Hz in real time. |
format | Online Article Text |
id | pubmed-8838899 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-88388992022-02-13 Real-Time Hyperspectral Video Acquisition with Coded Slits Tang, Guoliang Wang, Zi Liu, Shijie Li, Chunlai Wang, Jianyu Sensors (Basel) Article We propose a real-time hyperspectral video acquisition system that uses coded slits. Conventional imaging spectrometers usually have scanning mechanisms that reduce the temporal resolution or sacrifice the spatial resolution to acquire spectral information instantly. Recently, computational spectral imaging has been applied to realize high-speed or high-performance spectral imaging. However, the most current computational spectral imaging systems take a long time to reconstruct spectral data cubes from limited measurements, which limits real-time hyperspectral video acquisition. In this work, we propose a new computational spectral imaging system. We substitute the slit in a conventional scanning-based imaging spectrometer with coded slits, which can achieve the parallel acquisition of spectral data and thus an imaging speed that is several times higher. We also apply an electronically controlled translation stage to use different codes at each exposure level. The larger amount of data allows for fast reconstruction through matrix inversion. To solve the problem of a trade-off between imaging speed and image quality in high-speed spectral imaging, we analyze the noise in the system. The severe readout noise in our system is suppressed with S-matrix coding. Finally, we build a practical prototype that can acquire hyperspectral video with a high spatial resolution and a high signal-to-noise ratio at 5 Hz in real time. MDPI 2022-01-21 /pmc/articles/PMC8838899/ /pubmed/35161568 http://dx.doi.org/10.3390/s22030822 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Tang, Guoliang Wang, Zi Liu, Shijie Li, Chunlai Wang, Jianyu Real-Time Hyperspectral Video Acquisition with Coded Slits |
title | Real-Time Hyperspectral Video Acquisition with Coded Slits |
title_full | Real-Time Hyperspectral Video Acquisition with Coded Slits |
title_fullStr | Real-Time Hyperspectral Video Acquisition with Coded Slits |
title_full_unstemmed | Real-Time Hyperspectral Video Acquisition with Coded Slits |
title_short | Real-Time Hyperspectral Video Acquisition with Coded Slits |
title_sort | real-time hyperspectral video acquisition with coded slits |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838899/ https://www.ncbi.nlm.nih.gov/pubmed/35161568 http://dx.doi.org/10.3390/s22030822 |
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