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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2021-04-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-021-83810-z |
| _version_ | 1818425714343411712 |
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| author | Sagi Monin Evgeny Hahamovich Amir Rosenthal |
| author_facet | Sagi Monin Evgeny Hahamovich Amir Rosenthal |
| author_sort | Sagi Monin |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-14T14:18:20Z |
| format | Article |
| id | doaj.art-3f041409de4143afb9cac842bfc915b8 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-12-14T14:18:20Z |
| publishDate | 2021-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-3f041409de4143afb9cac842bfc915b82022-12-21T22:58:09ZengNature PortfolioScientific Reports2045-23222021-04-0111111110.1038/s41598-021-83810-zSingle-pixel imaging of dynamic objects using multi-frame motion estimationSagi Monin0Evgeny Hahamovich1Amir Rosenthal2Department of Electrical Engineering, Technion – Israel Institute of TechnologyDepartment of Electrical Engineering, Technion – Israel Institute of TechnologyDepartment of Electrical Engineering, Technion – Israel Institute of TechnologyAbstract 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.https://doi.org/10.1038/s41598-021-83810-z |
| spellingShingle | Sagi Monin Evgeny Hahamovich Amir Rosenthal Single-pixel imaging of dynamic objects using multi-frame motion estimation Scientific Reports |
| title | 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_short | Single-pixel imaging of dynamic objects using multi-frame motion estimation |
| title_sort | single pixel imaging of dynamic objects using multi frame motion estimation |
| url | https://doi.org/10.1038/s41598-021-83810-z |
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