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    This study introduces a novel 3D image authentication method using double random phase encryption for integral imaging. The technique enhances security and reduces storage costs by utilizing sparse phase information for robust 3D image authentication.

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    Area of Science:

    • Optics and Photonics
    • Image Processing
    • Information Security

    Background:

    • Two-dimensional (2D) image authentication commonly uses double random phase encryption.
    • Three-dimensional (3D) image authentication, particularly for integral imaging systems, remains underexplored.
    • Existing methods lack robust security and efficient data handling for 3D imaging.

    Purpose of the Study:

    • To propose and validate a novel 3D image authentication scheme for integral imaging.
    • To enhance information security in 3D imaging systems.
    • To reduce data storage and transmission costs for 3D images.

    Main Methods:

    • Integral imaging is employed to capture 2D elemental images.
    • A double random phase encoding algorithm encrypts elemental images, retaining only partial phase information.
    • A nonlinear correlation method is used for authenticating 3D images at various depths.

    Main Results:

    • The proposed method successfully authenticates 3D images from integral imaging at different depths.
    • Encrypted elemental images using sparse phase are difficult for the naked eye to interpret, enhancing security.
    • Discarding amplitude information significantly reduces data storage and aids compression/transmission.

    Conclusions:

    • The developed 3D image authentication scheme offers improved information security for integral imaging.
    • The use of sparse phase significantly cuts down storage requirements and facilitates efficient data handling.
    • This method provides a secure and efficient solution for 3D image authentication in integral imaging systems.