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An improved algorithm to reduce noise in high-order thermal ghost imaging.

Xi-Hao Chen, Shuang-Shuang Wu, Wei Wu

    Journal of the Optical Society of America. A, Optics, Image Science, and Vision
    |November 18, 2014
    PubMed
    Summary
    This summary is machine-generated.

    A new correlation function effectively removes noise in high-order thermal light ghost imaging (GI). This significantly enhances image quality in lensless GI setups, outperforming previous high-order methods.

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    Area of Science:

    • Optics
    • Quantum Imaging
    • Image Processing

    Background:

    • High-order ghost imaging (GI) techniques are susceptible to noise.
    • Existing methods struggle to achieve high-quality reconstructions with limited data.

    Purpose of the Study:

    • To develop a noise-reduction method for high-order thermal light GI.
    • To improve image reconstruction quality in lensless GI systems.
    • To analyze the impact of sampling on image quality.

    Main Methods:

    • Derivation of a modified Nth-order correlation function.
    • Implementation in an Nth-order lensless GI setup.
    • Experimental measurement of visibility and signal-to-noise ratio (SNR) dependence on sampling number.

    Main Results:

    • The modified correlation function effectively suppresses noise background.
    • Significantly enhanced image quality in reconstructed images.
    • Demonstrated superior performance compared to former high-order GI schemes for equivalent sampling.

    Conclusions:

    • The proposed modified correlation function is a robust solution for noise reduction in high-order GI.
    • The method offers improved image fidelity and SNR in lensless GI systems.
    • Understanding sampling dependence is crucial for optimizing high-order GI performance.