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  11. Spatial-temporal Binarization Encoding Basis Modulation Fourier Single-pixel Imaging

Spatial-temporal binarization encoding basis modulation Fourier single-pixel imaging

Jiangping Zhu, Yi Shuai, Lei Liu

    Optics Express
    |June 14, 2025

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    View abstract on PubMed

    Summary
    This summary is machine-generated.

    This study introduces a novel spatial-temporal binary encoding method for Fourier single-pixel imaging (FSI), significantly improving image reconstruction quality and reducing sampling time. The new approach enhances both simple and complex scenes, offering practical advantages for FSI applications.

    Area of Science:

    • Optics and Photonics
    • Image Processing
    • Computational Imaging

    Background:

    • Fourier single-pixel imaging (FSI) faces limitations in switching rates and binary encoding of sinusoidal features.
    • Existing FSI methods struggle with efficient reconstruction and maintaining image quality.

    Purpose of the Study:

    • To present a novel FSI method using spatial-temporal binary encoding to overcome current limitations.
    • To achieve rapid and high-quality image reconstruction in FSI.

    Main Methods:

    • Developed an innovative image extension algorithm for scene preprocessing.
    • Decomposed grayscale Fourier basis patterns into binary patterns using dynamic thresholding and error diffusion.
    • Implemented a weighted reconstruction strategy for efficient single-pixel measurements.

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    Main Results:

    • Achieved substantial improvements in image reconstruction quality compared to existing techniques.
    • Demonstrated significant enhancements in SSIM (up to 80%) and PSNR (up to 43%) for simple scenes.
    • Showcased notable performance gains in complex scenes (SSIM up to 27.9%) and reduced RMSE.
    • Reduced sampling time by up to 28.225s while maintaining comparable reconstruction quality to grayscale projections.

    Conclusions:

    • The proposed spatial-temporal binary encoding FSI method offers superior image reconstruction quality and efficiency.
    • The method excels in preserving texture details and enhancing background reconstruction.
    • This technique presents a versatile and practical advancement for diverse FSI applications.