Realization of tunable edge-enhanced images based on computing metasurfaces

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.