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    Fourier single-pixel imaging (FSI) now offers faster dynamic scene capture. A new method uses binary patterns to speed up digital micro-mirror device (DMD)-based FSI without losing resolution.

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    Area of Science:

    • Optics and photonics
    • Computational imaging

    Background:

    • Single-pixel imaging (SPI) is gaining traction for nonvisible wavelength and low-light imaging.
    • Fourier single-pixel imaging (FSI) enhances reconstruction quality using deterministic basis patterns.
    • Current DMD-based FSI is limited by slow grayscale pattern generation.

    Purpose of the Study:

    • To accelerate imaging speed in DMD-based FSI.
    • To maintain or improve spatial resolution during high-speed imaging.
    • To provide an efficient alternative for FSI applications.

    Main Methods:

    • Grayscale Fourier basis patterns were decomposed into binary patterns.
    • Binary patterns were used for object illumination.
    • Detected intensities were weighted, summed, and inverse Fourier transformed for image reconstruction.

    Main Results:

    • A computational simulation and laboratory experiments validated the approach.
    • Dynamic scenes (128x128 pixels) were captured at ~9 frames-per-second.
    • A 22 KHz projection rate was achieved using a DMD.

    Conclusions:

    • The proposed technique significantly increases FSI imaging speed.
    • This method offers an efficient alternative for DMD-based FSI.
    • High-speed dynamic imaging is achievable without sacrificing spatial resolution.