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Curved retina-like camera array imaging system with adjustable super-resolution fovea.

Huan Cui, Qun Hao, Jie Cao

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    |March 10, 2021
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    We developed a novel curved retina-like camera array imaging system (CRCS) for efficient, wide-field imaging. This system provides adjustable super-resolution and reduces data redundancy, enhancing image clarity for distant targets.

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    Area of Science:

    • Optics and Vision Science
    • Computer Vision
    • Imaging Systems Engineering

    Background:

    • Traditional imaging systems often struggle to balance wide field of view with high resolution.
    • Achieving efficient, non-uniform imaging and adjustable super-resolution remains a challenge.
    • Existing systems may suffer from significant data redundancy.

    Purpose of the Study:

    • To introduce a novel curved retina-like camera array imaging system (CRCS).
    • To enable non-uniform imaging with a large field of view and high efficiency.
    • To achieve an adjustable fovea with super-resolution capabilities.

    Main Methods:

    • Construction of an eight-camera array distributed non-uniformly on a curved surface.
    • Integration of a central camera coaxial with Risley prisms.
    • Implementation of non-uniform imaging principles for data acquisition.

    Main Results:

    • The developed prototype achieved a wide field of view of 150°×40°.
    • Data redundancy was reduced by an significant 87.62% through non-uniform imaging.
    • Clear and sharp images of distant targets within the fovea field of view were obtained with constant focal length.

    Conclusions:

    • The curved retina-like camera array imaging system (CRCS) effectively addresses limitations of traditional imaging.
    • CRCS demonstrates high efficiency, a large field of view, and adjustable super-resolution.
    • The system shows promise for applications requiring detailed imaging of distant objects within a broad visual range.