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    Area of Science:

    • Photonics
    • Optical Engineering
    • Imaging Science

    Background:

    • Frequency-modulated continuous-wave (FMCW) Light Detection and Ranging (LIDAR) is crucial for active 3D imaging due to its high resolution and environmental robustness.
    • Traditional FMCW LIDAR requires hundreds of photons per pixel for accurate 3D imaging, limiting its effectiveness in low-flux regimes where depth estimation is unreliable.

    Purpose of the Study:

    • To develop and demonstrate a photon-efficient FMCW LIDAR approach.
    • To improve the robustness and quality of 3D depth estimation in low-photon count scenarios.

    Main Methods:

    • Constructed an FMCW LIDAR setup utilizing single-photon detectors and a weak local oscillator for coherent detection.
    • Implemented a novel imaging approach that leverages data from neighboring pixels to enhance depth estimates.
    • Employed a total-variation seminorm technique to effectively reduce noise in the recovered depth maps.

    Main Results:

    • Achieved high-quality 3D imaging using approximately 10 signal photons per pixel, a tenfold increase in photon efficiency compared to traditional methods.
    • Demonstrated the effectiveness of the proposed method through both simulations and experimental validation.
    • Confirmed the approach's ability to produce robust depth estimates even at very low photon counts.

    Conclusions:

    • The developed photon-efficient FMCW LIDAR approach significantly enhances imaging capabilities in low-light conditions.
    • This advancement is highly valuable for developing low-power and high-speed FMCW LIDAR applications.
    • The method offers a practical solution for improving 3D imaging performance where photon counts are limited.