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Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization
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Phase-error correction in digital holography using single-shot data.

Samuel T Thurman

    Journal of the Optical Society of America. A, Optics, Image Science, and Vision
    |December 25, 2019
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces an image-sharpness algorithm for correcting phase errors in single-shot digital holography, achieving performance comparable to Bayesian methods for remote sensing applications.

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    Area of Science:

    • Optics and Photonics
    • Remote Sensing
    • Digital Holography

    Background:

    • Digital holography data in remote sensing is affected by atmospheric turbulence phase errors and laser speckle.
    • Correcting phase errors is challenging with single-shot data due to high speckle contrast.

    Purpose of the Study:

    • To develop and evaluate an alternative phase-error correction algorithm for single-shot digital holography.
    • To compare the performance of the new algorithm against a Bayesian approach.

    Main Methods:

    • An image-sharpness maximization algorithm was developed based on features of a Bayesian approach.
    • Simulated data with varying signal-to-noise ratios (SNRs) and turbulence levels were used for testing.
    • Spatial binning was employed to reduce speckle contrast.

    Main Results:

    • The image-sharpness algorithm demonstrated performance comparable to the Bayesian method.
    • The new algorithm outperformed the Bayesian approach in high SNR conditions.
    • The Bayesian approach showed better performance in low SNR conditions.

    Conclusions:

    • The image-sharpness algorithm offers a viable alternative for phase-error correction in single-shot digital holography.
    • Parameterization and spatial binning are key to the algorithm's effectiveness.
    • Further experimental validation is warranted.