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Image-enhanced single-pixel imaging using fractional calculus.

Xiao Zhang, Rui Li, Jiaying Hong

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    |February 24, 2022
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces arbitrary-order fractional operations for single-pixel imaging, enhancing edge detection while suppressing noise. This novel approach offers a better balance between image signal-to-noise ratio and edge enhancement performance.

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    Area of Science:

    • Optics and photonics
    • Image processing
    • Computational imaging

    Background:

    • Single-pixel imaging (SPI) offers image-free information extraction.
    • Conventional SPI enhancement uses integer-order derivatives, which are noise-sensitive and struggle to balance edge detection with noise suppression.

    Purpose of the Study:

    • To introduce arbitrary-order fractional operations into single-pixel imaging.
    • To address the challenge of balancing edge detection and noise suppression in SPI.
    • To improve image quality and signal-to-noise ratio (SNR) in SPI.

    Main Methods:

    • Implementation of arbitrary-order fractional operations for image enhancement in SPI.
    • Experimental validation of the proposed technique for edge detection and noise reduction.
    • Comparison with traditional integer-order derivative methods.

    Main Results:

    • The proposed fractional-order technique effectively detects high-quality image edges.
    • It achieves a superior tradeoff between image SNR and edge enhancement compared to integer-order methods.
    • Negative fractional orders demonstrate good performance in image smoothing and quality improvement.

    Conclusions:

    • Arbitrary-order fractional operations provide a new adjustable parameter for SPI image enhancement.
    • This method overcomes the limitations of traditional techniques by offering simultaneous edge extraction and noise reduction.
    • The technique enhances image quality and SNR in single-pixel imaging applications.