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    Area of Science:

    • Optics and Photonics
    • Computer Vision
    • Image Processing

    Background:

    • Scan imaging systems using Risley prisms often face challenges with computational complexity in image stitching.
    • Traditional feature-based stitching methods can be inefficient due to extensive feature extraction and registration processes.

    Purpose of the Study:

    • To propose and validate a prelocation image stitching method to enhance efficiency in Risley prism-based scan imaging.
    • To reduce the computational load of image stitching by focusing on prelocated overlap areas.

    Main Methods:

    • A novel prelocation strategy is employed to confine feature-based stitching to specific overlap regions within sub-images.
    • The method involves identifying and utilizing prelocated overlap areas to streamline feature extraction and image registration.

    Main Results:

    • The proposed overlap prelocation algorithm demonstrates feasibility and robustness in experimental validation.
    • Image stitching efficiency is enhanced by a minimum of 21.89% and a maximum of 39.38%.

    Conclusions:

    • The prelocation image stitching method effectively reduces computational complexity for Risley prism systems.
    • The resulting composite images offer a large field of view with preserved high resolution, improving overall imaging performance.