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An analysis and method for contrast enhancement turbulence mitigation.

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    This study introduces a novel method to simultaneously remove fog and mitigate atmospheric turbulence in images. The joint contrast enhancement and turbulence mitigation (CETM) method improves image quality for real-time applications.

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    Area of Science:

    • Atmospheric optics
    • Image processing

    Background:

    • Atmospheric imaging is challenged by fog and turbulence.
    • Existing methods address fog or turbulence individually, not concurrently.
    • Real-time fog removal and turbulence mitigation are critical for many applications.

    Purpose of the Study:

    • To analyze the combined effects of fog and turbulence on image quality.
    • To develop a joint contrast enhancement and turbulence mitigation (CETM) method.
    • To improve image alignment and averaging in adverse atmospheric conditions.

    Main Methods:

    • Incorporated physics models for both fog and atmospheric turbulence.
    • Developed a novel joint contrast enhancement and turbulence mitigation (CETM) algorithm.
    • Introduced a new turbulence mitigation object metric measuring temporal consistency.
    • Designed the CETM for efficient, near real-time performance.

    Main Results:

    • Demonstrated how contrast enhancement for fog removal impacts image alignment and averaging.
    • Showcased the CETM's ability to leverage contrast enhancement estimations for improved turbulence removal.
    • Validated the effectiveness of the new temporal consistency metric for turbulence mitigation.

    Conclusions:

    • The CETM method offers a unified approach to combatting fog and turbulence in atmospheric imaging.
    • The developed technique achieves efficient, near real-time performance.
    • This work advances the field of atmospheric image restoration by addressing multiple challenges simultaneously.