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    This study introduces a new single-pixel imaging (SPI) method for real-time, high-resolution imaging of moving objects. It enhances spatial resolution for dynamic scenes, overcoming limitations of traditional techniques.

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    Area of Science:

    • Optics and Photonics
    • Image Processing
    • Dynamic Scene Analysis

    Background:

    • Single-pixel imaging (SPI) offers real-time observation of dynamic scenes by reducing sampling rates.
    • Traditional SPI methods face challenges in achieving high spatial resolution concurrently with high temporal resolution for fast-moving objects.

    Purpose of the Study:

    • To develop a real-time, high-resolution imaging method specifically for dynamic scenes involving moving objects.
    • To overcome the trade-off between temporal and spatial resolution in conventional single-pixel imaging techniques.

    Main Methods:

    • A novel approach combining Fourier modulation-based tracking with foveated modulation for moving object imaging.
    • Utilizing six Fourier patterns for rapid object localization and foveal region determination.
    • Employing preloaded foveated patterns for targeted high-resolution imaging, bypassing digital micromirror device bandwidth constraints.

    Main Results:

    • Demonstrated significant improvement in spatial resolution for moving objects compared to conventional Fourier SPI.
    • Validated the real-time monitoring capability by overcoming transmission bandwidth limitations.
    • Experimental and simulation results confirm the method's effectiveness.

    Conclusions:

    • The proposed method successfully achieves real-time high-resolution imaging of moving objects.
    • This technique enhances spatial resolution in dynamic scenes, offering a significant advancement over existing SPI methods.
    • Potential for integration with laser guidance expands application possibilities in targeted high-resolution imaging.