Double-phase metasurface operators for all-optical image processing

Linzhi Yu; Haobijam J. Singh; Jesse Pietila; Humeyra Caglayan

doi:10.1038/s41377-025-02153-w

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Double-phase metasurface operators for all-optical image processing

Original Articles

- Double-phase metasurface operators for all-optical image processing
- Light: Science & Applications Vol. 15, Issue 4, Pages: 1339-1349(2026)
- Affiliations：
  
  1.Department of Physics, Tampere University, Tampere 33720, Finland
  2.Department of Electrical Engineering, Photonic Integration Group, Eindhoven University of Technology, Eindhoven 5600 MB, The Netherlands
- Author bio：
  
  Humeyra Caglayan (h.caglayan@tue.nl)
- Funds：
- DOI：10.1038/s41377-025-02153-w
  CLC：
- Received：15 March 2025，
  
  Revised：2025-11-17，
  
  Accepted：30 November 2025，
  
  Online First：23 February 2026，
  
  Published：30 April 2026
- Accepted：
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Yu, L. Z. et al. Double-phase metasurface operators for all-optical image processing. Light: Science & Applications, 15, 1339-1349 (2026).
DOI：

Yu, L. Z. et al. Double-phase metasurface operators for all-optical image processing. Light: Science & Applications, 15, 1339-1349 (2026). DOI： 10.1038/s41377-025-02153-w.

摘要

Abstract

All-optical image processing offers a high-speed

energy-efficient alternative to conventional electronic systems by leveraging the wave nature of light for parallel computation. However

traditional optical processors rely on bulky components

limiting scalability and integration. Here

we demonstrate a compact metasurface-based platform for analog optical computing. By employing double-phase encoding and polarization multiplexing

our approach enables arbitrary image transformations within a single passive nanophotonic device

eliminating the need for complex optical setups or digital post-processing. We experimentally showcase key computational operations

including first-order differentiation

cross-correlation

vertex detection

and Laplacian differentiation. Additionally

we extend this framework to high-resolution complex holography

achieving subwavelength-scale volumetric wavefront control for depth-resolved reconstructions with high fidelity. Our results establish a scalable and versatile approach to computational optics

with applications including real-time image processing

energy-efficient computing

biomedical imaging

high-fidelity holographic displays

and optical data storage

driving the advancement of intelligent optical processors.

关键词

Keywords

references

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