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    Area of Science:

    • Optics and Photonics
    • Image Processing
    • Dynamic Scene Imaging

    Background:

    • Coded aperture compressive temporal imaging (CACTI) captures dynamic scenes in a single exposure.
    • Existing CACTI methods face challenges in reconstruction quality and noise sensitivity.
    • Advanced imaging techniques are needed for high-fidelity dynamic scene capture.

    Purpose of the Study:

    • To introduce a novel dual-optical-path (DoP) system for CACTI.
    • To enhance spatial resolution and temporal information capture.
    • To improve robustness against noise in dynamic scene reconstruction.

    Main Methods:

    • Implemented a DoP system using a single digital micromirror device (DMD) with conjugate masks.
    • Simultaneously captured original and complementary measurements.
    • Developed a Noise-Robust Network (NRST) for spatiotemporal reconstruction.

    Main Results:

    • Combining measurements improved spatial resolution.
    • Differential measurements provided temporal information and canceled noise.
    • The NRST algorithm demonstrated increased accuracy and noise robustness.

    Conclusions:

    • The DoP-CACTI system significantly enhances spatiotemporal imaging capabilities.
    • The proposed system offers superior noise robustness compared to conventional methods.
    • This approach advances the field of dynamic scene imaging with improved fidelity.