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    This study presents simple calculations for estimating optical imaging sensor point-spread function (PSF) size. These methods aid in allocating blur budgets for improved image quality in non-diffraction-limited systems.

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    Area of Science:

    • Optical Engineering
    • Image Sensor Technology
    • Metrology

    Background:

    • Image quality in optical imaging sensors is paramount, directly correlating with sensor performance.
    • Key factors influencing image quality include the point-spread function (PSF), sampling, and signal-to-noise ratio.
    • Sensor resolution is critically dependent on the PSF, which is often degraded from the diffraction limit by optical aberrations and pixel size.

    Purpose of the Study:

    • To develop simplified, back-of-the-envelope calculations for estimating the PSF size of non-diffraction-limited imaging sensors.
    • To provide a method for allocating blur contributions from various sources (e.g., wavefront errors) during sensor design.
    • To enable better prediction and control of image quality based on required sensor resolution.

    Main Methods:

    • Development of two distinct, simplified calculation methods for estimating non-diffraction-limited PSF size.
    • Utilizing sensor-level required resolution as the primary input for the PSF size estimation.
    • Establishing a framework for allocating blur budgets to specific optical and sensor parameters.

    Main Results:

    • Successful derivation of two practical calculation methods for estimating imaging sensor PSF size.
    • Demonstrated that these estimates can guide the allocation of blur contributions during the sensor design process.
    • Provided a quantitative approach to manage trade-offs between resolution and various blur sources.

    Conclusions:

    • The developed calculations offer a valuable tool for optical imaging sensor design and performance prediction.
    • Effective PSF size estimation facilitates the management of blur budgets, leading to optimized image quality.
    • This approach aids engineers in addressing non-diffraction-limited scenarios by systematically allocating design parameters.