Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Tang, Guoliang, Wang, Zi, Liu, Shijie, Li, Chunlai, Wang, Jianyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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
_version_ 1784650235603058688
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
work_keys_str_mv AT tangguoliang realtimehyperspectralvideoacquisitionwithcodedslits
AT wangzi realtimehyperspectralvideoacquisitionwithcodedslits
AT liushijie realtimehyperspectralvideoacquisitionwithcodedslits
AT lichunlai realtimehyperspectralvideoacquisitionwithcodedslits
AT wangjianyu realtimehyperspectralvideoacquisitionwithcodedslits