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Journals >Advanced Imaging >Volume 1 >Issue 3 >Page 033001 > Article

Advanced Imaging
Vol. 1, Issue 3, 033001 (2024)

Diffractive neural networks enabling superoscillatory imaging without sidelobes

Guanghui Yuan^*

Author Affiliations

Department of Optics and Optical Engineering, School of Physical Sciences, University of Science and Technology of China, Hefei, China

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DOI: 10.3788/AI.2024.30001 Cite this Article Set citation alerts

Guanghui Yuan, "Diffractive neural networks enabling superoscillatory imaging without sidelobes," Adv. Imaging 1, 033001 (2024) Copy Citation Text

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References

[1] N. I. Zheludev, G. H. Yuan. Optical superoscillation technologies beyond the diffraction limit. Nat. Rev. Phys., 4, 16(2021).

[2] H. Chen et al. Superresolution imaging using superoscillatory diffractive neural networks. Adv. Photonics, 6, 056004(2024).

[3] S. Gao et al. Super-resolution diffractive neural network for all-optical direction of arrival estimation beyond diffraction limits. Light Sci. Appl., 13, 161(2024).

[4] J. Hu et al. Subwavelength imaging using a solid-immersion diffractive optical processor. eLight, 4, 8(2024).

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Guanghui Yuan, "Diffractive neural networks enabling superoscillatory imaging without sidelobes," Adv. Imaging 1, 033001 (2024)

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