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    Area of Science:

    • Computational Imaging
    • Optical Sensing

    Background:

    • Single-pixel imaging (SPI) offers adaptability but suffers from motion artifacts.
    • Current solutions require complex motion modeling, increasing costs and hardware needs.

    Purpose of the Study:

    • To develop a novel SPI framework that is agnostic to translational motion.
    • To enable clear imaging of moving objects without motion estimation or compensation.

    Main Methods:

    • Proposed translational motion-agnostic SPI (TMA-SPI) using dual-domain optimization.
    • Leveraged Fourier domain's amplitude spectrum translation invariance.
    • Applied spatially finite and nonnegative constraints in the image domain.

    Main Results:

    • Successfully produced clear images of moving objects.
    • Demonstrated superior performance compared to conventional SPI via simulations and a real prototype.
    • Achieved motion-agnostic imaging without motion estimation or compensation.

    Conclusions:

    • TMA-SPI effectively removes translational motion artifacts in single-pixel imaging.
    • The framework enhances SPI applicability for dynamic sensing.
    • Offers a cost-effective and computationally efficient solution for real-world applications.