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Image restoration in fiber-coupled imagers using space-variant impulse response characterization.

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    This summary is machine-generated.

    This study demonstrates how characterizing the impulse response of fiber-coupled image sensors can recover lost resolution. This technique reveals fine input surface structures, improving image quality in wide-angle imaging applications.

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    Area of Science:

    • Optics and Photonics
    • Image Processing
    • Sensor Technology

    Background:

    • Fiber-coupled image sensors enable high-resolution conformal imaging, particularly for wide-angle lenses mapping spherical surfaces to flat sensors.
    • Image resolution is degraded by fiber bundle defects, moiré patterns from misalignment, and sensor gap-induced blur.
    • Existing methods struggle to fully compensate for resolution loss in fiber-coupled imaging systems.

    Purpose of the Study:

    • To investigate the efficacy of subpixel impulse response characterization for recovering resolution lost during fiber-coupled image transfer.
    • To determine if established image-processing techniques can be applied to mitigate resolution degradation.
    • To assess the repeatability and utility of submicrometer impulse response measurements.

    Main Methods:

    • Characterizing the strongly shift-variant impulse response at the subpixel level.
    • Applying existing image-processing algorithms to the acquired impulse response data.
    • Experimentally measuring the submicrometer impulse response of a fiber bundle.
    • Analyzing the recovered image data for fine feature resolution.

    Main Results:

    • Subpixel impulse response characterization is experimentally repeatable.
    • The characterized impulse response successfully recovers image data lost during transfer.
    • Fine features of the input surface structure, down to 2.5 μm pitch, were revealed.
    • Resolution loss due to fiber bundle defects and misalignment was effectively mitigated.

    Conclusions:

    • Subpixel impulse response characterization is a viable method for enhancing image resolution in fiber-coupled sensors.
    • This technique offers a pathway to overcome limitations in current fiber-coupled imaging systems.
    • The findings support the use of advanced image processing for high-fidelity image transfer.