Advanced Photonics, Volume. 6, Issue 6, 066002(2024)

Deep-learning-driven end-to-end metalens imaging

Joonhyuk Seo1、†, Jaegang Jo2, Joohoon Kim3, Joonho Kang4, Chanik Kang1, Seong-Won Moon3, Eunji Lee5, Jehyeong Hong1,2,4, Junsuk Rho3,5,6,7,8、*, and Haejun Chung1,2,4、*
Author Affiliations
  • 1Hanyang University, Department of Artificial Intelligence, Seoul, Republic of Korea
  • 2Hanyang University, Department of Electronic Engineering, Seoul, Republic of Korea
  • 3Pohang University of Science and Technology, Department of Mechanical Engineering, Pohang, Republic of Korea
  • 4Hanyang University, Department of Artificial Intelligence Semiconductor Engineering, Seoul, Republic of Korea
  • 5Pohang University of Science and Technology, Department of Chemical Engineering, Pohang, Republic of Korea
  • 6Pohang University of Science and Technology, Department of Electrical Engineering, Pohang, Republic of Korea
  • 7POSCO-POSTECH-RIST Convergence Research Center for Flat Optics and Metaphotonics, Pohang, Republic of Korea
  • 8National Institute of Nanomaterials Technology, Pohang, Republic of Korea
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    Joonhyuk Seo, Jaegang Jo, Joohoon Kim, Joonho Kang, Chanik Kang, Seong-Won Moon, Eunji Lee, Jehyeong Hong, Junsuk Rho, Haejun Chung, "Deep-learning-driven end-to-end metalens imaging," Adv. Photon. 6, 066002 (2024)

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    Paper Information

    Category: Research Articles

    Received: Jun. 13, 2024

    Accepted: Oct. 14, 2024

    Posted: Oct. 14, 2024

    Published Online: Nov. 15, 2024

    The Author Email: Rho Junsuk (jsrho@postech.ac.kr), Chung Haejun (haejun@hanyang.ac.kr)

    DOI:10.1117/1.AP.6.6.066002

    CSTR:32187.14.1.AP.6.6.066002

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