Single-pixel imaging of dynamic objects using multi-frame motion estimation

Abstract Single-pixel imaging (SPI) enables the visualization of objects with a single detector by using a sequence of spatially modulated illumination patterns. For natural images, the number of illumination patterns may be smaller than the number of pixels when compressed-sensing algorithms are us...

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Autores principales:	Sagi Monin, Evgeny Hahamovich, Amir Rosenthal
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/3f041409de4143afb9cac842bfc915b8
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spelling	oai:doaj.org-article:3f041409de4143afb9cac842bfc915b82021-12-02T18:15:24ZSingle-pixel imaging of dynamic objects using multi-frame motion estimation10.1038/s41598-021-83810-z2045-2322https://doaj.org/article/3f041409de4143afb9cac842bfc915b82021-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-83810-zhttps://doaj.org/toc/2045-2322Abstract Single-pixel imaging (SPI) enables the visualization of objects with a single detector by using a sequence of spatially modulated illumination patterns. For natural images, the number of illumination patterns may be smaller than the number of pixels when compressed-sensing algorithms are used. Nonetheless, the sequential nature of the SPI measurement requires that the object remains static until the signals from all the required patterns have been collected. In this paper, we present a new approach to SPI that enables imaging scenarios in which the imaged object, or parts thereof, moves within the imaging plane during data acquisition. Our algorithms estimate the motion direction from inter-frame cross-correlations and incorporate it in the reconstruction model. Moreover, when the illumination pattern is cyclic, the motion may be estimated directly from the raw data, further increasing the numerical efficiency of the algorithm. A demonstration of our approach is presented for both numerically simulated and measured data.Sagi MoninEvgeny HahamovichAmir RosenthalNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Sagi Monin Evgeny Hahamovich Amir Rosenthal Single-pixel imaging of dynamic objects using multi-frame motion estimation
description	Abstract Single-pixel imaging (SPI) enables the visualization of objects with a single detector by using a sequence of spatially modulated illumination patterns. For natural images, the number of illumination patterns may be smaller than the number of pixels when compressed-sensing algorithms are used. Nonetheless, the sequential nature of the SPI measurement requires that the object remains static until the signals from all the required patterns have been collected. In this paper, we present a new approach to SPI that enables imaging scenarios in which the imaged object, or parts thereof, moves within the imaging plane during data acquisition. Our algorithms estimate the motion direction from inter-frame cross-correlations and incorporate it in the reconstruction model. Moreover, when the illumination pattern is cyclic, the motion may be estimated directly from the raw data, further increasing the numerical efficiency of the algorithm. A demonstration of our approach is presented for both numerically simulated and measured data.
format	article
author	Sagi Monin Evgeny Hahamovich Amir Rosenthal
author_facet	Sagi Monin Evgeny Hahamovich Amir Rosenthal
author_sort	Sagi Monin
title	Single-pixel imaging of dynamic objects using multi-frame motion estimation
title_short	Single-pixel imaging of dynamic objects using multi-frame motion estimation
title_full	Single-pixel imaging of dynamic objects using multi-frame motion estimation
title_fullStr	Single-pixel imaging of dynamic objects using multi-frame motion estimation
title_full_unstemmed	Single-pixel imaging of dynamic objects using multi-frame motion estimation
title_sort	single-pixel imaging of dynamic objects using multi-frame motion estimation
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/3f041409de4143afb9cac842bfc915b8
work_keys_str_mv	AT sagimonin singlepixelimagingofdynamicobjectsusingmultiframemotionestimation AT evgenyhahamovich singlepixelimagingofdynamicobjectsusingmultiframemotionestimation AT amirrosenthal singlepixelimagingofdynamicobjectsusingmultiframemotionestimation
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Single-pixel imaging of dynamic objects using multi-frame motion estimation

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