The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Optical edge detection based on high-efficiency dielectric metasurface
Open accessAbstract
Significance: Edge detection is a fundamental tool in image processing, computing, and machine vision. Compared with digital processes, optical analog approaches show enormous advantages owing to its intrinsic parallel nature for high-speed operation. Recently, optical metamaterials and metasurfaces have performed edge detection via analog spatial differentiation, which shows superior integration capability compared with the traditional bulky system. Unfortunately, experimental realization of optical-edge detection with metamaterials and metasurfaces remains challenging based on previous theoretical proposals. Here, we demonstrated a mechanism to realize an optical spatial differentiator consisting of a designed metasurface sandwiched by two orthogonally aligned linear polarizers. This approach relies on spin-orbit interaction of light and the metasurface, showing versatile edge-detection capability with exceptional quality.
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Cites
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Cited by
Qiu, C.-W., Zhang, T., Hu, G., & Kivshar, Y. (2021) · Nano Letters · doi:10.1021/acs.nanolett.1c00828 · Cited by 243
Zou, Y., Li, Y., Yan, J., Liu, H., Zhang, Y., Zhang, Y., Wen, D., Li, P., Wei, B., Zhao, J., et al. (2026) · Laser & Photonics Reviews · doi:10.1002/lpor.202502167 · Cited by 7
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Metadata
- Authors
- Zhou, J., Qian, H., Chen, C.-F., Zhao, J., Li, G., Wu, Q., Luo, H., Wen, S., & Liu, Z.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2019-05-17
- Volume
- 116
- Issue
- 23
- Pages
- 11137-11140
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2945576467
- Cited by
- 474
- References
- 30
- FWCI
- 12.71
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Zhou, J., Qian, H., Chen, C.-F., Zhao, J., Li, G., Wu, Q., Luo, H., Wen, S., & Liu, Z. (2019). Optical edge detection based on high-efficiency dielectric metasurface. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1820636116
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