Superresolution imaging using superoscillatory diffractive neural networks

Hang Chen; Sheng Gao; Haiou Zhang; Zejia Zhao; Zhengyang Duan; Gordon Wetzstein; Xing Lin

doi:10.1117/1.AP.6.5.056004

Advanced Photonics, Volume. 6, Issue 5, 056004(2024)

Superresolution imaging using superoscillatory diffractive neural networks

Hang Chen^1、†, Sheng Gao¹, Haiou Zhang¹, Zejia Zhao¹, Zhengyang Duan¹, Gordon Wetzstein², and Xing Lin^1,3、*

Author Affiliations

¹Tsinghua University, Department of Electronic Engineering, Beijing, China

²Stanford University, Department of Electrical Engineering, California, United States

³Tsinghua University, Beijing National Research Center for Information Science and Technology, Beijing, China

show less

Cited By

Article index updated: Mar. 7, 2025

Citation counts are provided from Web of Science. The counts may vary by service, and are reliant on the availability of their data.

The article is cited by 2 article(s) from Web of Science.

The article is cited by 2 article(s) CLP online library. (Some content might be in Chinese.)

Tools

Get Citation

Copy Citation Text

Hang Chen, Sheng Gao, Haiou Zhang, Zejia Zhao, Zhengyang Duan, Gordon Wetzstein, Xing Lin, "Superresolution imaging using superoscillatory diffractive neural networks," Adv. Photon. 6, 056004 (2024)

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites

Paper Information

Category: Research Articles

Received: Mar. 31, 2024

Accepted: Sep. 10, 2024

Published Online: Oct. 9, 2024

The Author Email: Lin Xing (lin-x@tsinghua.edu.cn)

DOI:10.1117/1.AP.6.5.056004

CSTR:32187.14.1.AP.6.5.056004

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology