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Related Experiment Video

Updated: Dec 25, 2025

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
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Imaging high-speed moving targets with a single-pixel detector.

Wenjie Jiang, Xianye Li, Xinglei Peng

    Optics Express
    |April 1, 2020
    PubMed
    Summary

    This study introduces a new single-pixel imaging (SPI) method for capturing high-speed moving targets. By using target movement for spatial encoding, it overcomes limitations of traditional SPI and fast focal plane array cameras.

    Area of Science:

    • Optics and Photonics
    • Computational Imaging
    • Sensing Technologies

    Background:

    • Single-pixel imaging (SPI) offers an alternative to focal plane array (FPA) technology.
    • Traditional SPI struggles with high-speed moving targets due to spatial light modulator (SLM) refresh rates and reconstruction complexities.
    • Existing methods lack the capability to image dynamic scenes effectively.

    Purpose of the Study:

    • To develop a novel single-pixel imaging scheme capable of imaging high-speed moving targets.
    • To overcome the inherent limitations of conventional SPI for dynamic scene capture.
    • To extend the application scope of SPI technology to dynamic imaging scenarios.

    Main Methods:

    • A new SPI scheme where spatial encoding is achieved through target movement relative to a static pseudo-random illumination pattern.

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  • Generation of single-pixel signals based on the overlap between the target and illumination structure.
  • Image reconstruction utilizing compressive sensing and deep learning algorithms with a low sampling ratio (6%).

    • Main Results:

    • Successful reconstruction of high-speed moving targets was achieved.
    • The proposed scheme demonstrated comparable performance to fast FPA cameras.
    • Effective imaging was accomplished with a significantly reduced sampling ratio of 6%.

    Conclusions:

    • The novel SPI scheme effectively images high-speed moving targets, overcoming previous limitations.
    • The method retains the advantages of SPI while expanding its applicability to dynamic scenes.
    • This technology holds potential for broad applications in various imaging situations.