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    Area of Science:

    • Optics
    • Metasurfaces
    • Image Processing

    Background:

    • Bright-field and edge imaging offer distinct object characteristics crucial for image processing and pattern recognition.
    • Current methods for generating edge-enhanced images often lack tunability and electrical control.

    Purpose of the Study:

    • To propose a fast, convenient, and electrically tunable scheme for generating edge-enhanced images.
    • To leverage computing metasurfaces for spatial differential operations in optical wave propagation.

    Main Methods:

    • Utilized a computing metasurface capable of performing polarization-dependent spatial differential operations.
    • Employed a liquid-crystal phase plate with externally regulated voltages to introduce tunable phase retardances.
    • Manipulated the interplay between orthogonal polarization components to achieve adjustable image contrast.

    Main Results:

    • Demonstrated the ability to perform spatial differential operations using computing metasurfaces.
    • Achieved electrically tunable control over image contrast and enhancement.
    • Successfully switched between bright-field and edge-enhanced imaging modes.

    Conclusions:

    • The proposed scheme offers a fast and electrically controllable method for tunable edge-enhanced imaging.
    • Computing metasurfaces provide a versatile platform for advanced optical image processing tasks.
    • This technique enhances the flexibility and applicability of edge imaging in various scientific fields.