Learning-based high-speed single-pixel imaging using a cyclic random mask Article Swipe
Shuo-Qi Lin
,
Yicheng Zhang
,
Haofan Wang
,
Zunwang Bo
,
Fei Wang
,
Guohai Situ
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1364/oe.562424
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1364/oe.562424
Single-pixel imaging (SPI) is an advanced computational imaging technique that employs a simple bucket detector to capture object images without raster scanning. This method offers advantages such as low cost, high sensitivity, and suitability for imaging in low-light environments and specialized wavebands. However, SPI inherently suffers from a limitation in imaging speed due to the need to acquire intensity fluctuation signals under a large number of spatially modulated patterns. Here, we tackle this challenge by developing a high-speed optical modulation system and an advanced reconstruction algorithm, which together enhance the refresh rate of the optical modulation process while reducing the required sampling ratios, thereby enabling high-speed SPI. Specifically, on the hardware side, we implement a spinning disk modulation scheme with cyclic random patterns coded onto the disk, achieving a modulation refresh rate of 1 MHz. On the algorithmic side, we propose a physics-enhanced deep learning framework combined with a lightweight neural network, LiteUNet, which reduces the required sampling rate to 10%. By combining these innovations, we experimentally demonstrate high-speed SPI at 1926 fps with a spatial resolution of 71 73 pixels. This work offers an effective solution to address the imaging speed bottleneck in SPI, paving the way for its practical applications in fields such as microscopy and remote sensing.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1364/oe.562424
- OA Status
- gold
- Cited By
- 1
- References
- 42
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4409805313
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4409805313Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1364/oe.562424Digital Object Identifier
- Title
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Learning-based high-speed single-pixel imaging using a cyclic random maskWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-04-25Full publication date if available
- Authors
-
Shuo-Qi Lin, Yicheng Zhang, Haofan Wang, Zunwang Bo, Fei Wang, Guohai SituList of authors in order
- Landing page
-
https://doi.org/10.1364/oe.562424Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1364/oe.562424Direct OA link when available
- Concepts
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Optics, Pixel, Image processing, Optical coherence tomography, Materials science, Computer science, Artificial intelligence, Physics, Image (mathematics)Top concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
- References (count)
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42Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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