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September 10, 2025ElectronicsOpen Access

Single-Pixel Three-Dimensional Compressive Imaging System Using Volume Structured Illumination

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Authors

YJYanbing JiangCommunication University of Zhejiang SMShaoshuo MuCommunication University of Zhejiang

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Implication

This framework demonstrates improved noise performance in three-dimensional imaging, suggesting potential advancements in single-pixel optical systems.

Key Points

This approach successfully implements three-dimensional compressive sensing using a single-pixel imaging system.
The study achieved a measurement ratio of 19.53%, enhancing the feasibility of 3D imaging applications.
The L1-norm minimization algorithm improved noise performance by utilizing prior knowledge of non-overlapping objects.
Experimental results indicate the capability of accurately reconstructing color information using color filter modulation.

Cite This Study

Jiang et al. (2025) studied this question.

synapsesocial.com/papers/68c1d7e354b1d3bfb60f9b5d https://doi.org/10.3390/electronics14173463

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Implication

This framework demonstrates improved noise performance in three-dimensional imaging, suggesting potential advancements in single-pixel optical systems.

Single-Pixel Three-Dimensional Compressive Imaging System Using Volume Structured Illumination

Discussion

Member takes

Implication

Key Points

Cite This Study

Single-Pixel Three-Dimensional Compressive Imaging System Using Volume Structured Illumination

Discussion

Member takes

Implication

Key Points

Cite This Study

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