Edge detection with meta-lens: From one dimension to three dimensions

Mu Ku Chen, Yue Yan, Xiaoyuan Liu, Yongfeng Wu, Jingcheng Zhang, Jiaqi Yuan, Zhengnan Zhang, Din Ping Tsai*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

51 Citations (Scopus)
123 Downloads (CityUHK Scholars)

Abstract

Meta-lens has successfully been developed for a variety of optical functions. We demonstrate a light-field edge detection imaging system with a gallium nitride achromatic meta-lens array. It enables edge detection from one dimension to three dimensions. The designed meta-lens array consists of 60 by 60 achromatic meta-lenses, which operate in the visible range from 400 to 660 nm. All of the light field information of objects in the scene can be captured and computed. The focused edge images from one dimension to three dimensions are extracted with depth estimation by image rendering. Three dimensions edge detection is two dimensions edge imaging with depth information. The focused edge images can be obtained by the sub-image reconstruction of the light field image. Our multidimensional edge detection system by achromatic meta-lens array brings novel advantages, such as broadband detection, data volume reduction, and device miniaturization capacity. Results of our experiments show new insight into applications of biological diagnose and robotic vision.
Original languageEnglish
Pages (from-to)3709–3715
JournalNanophotonics
Volume10
Issue number14
Online published22 Jul 2021
DOIs
Publication statusPublished - Oct 2021
Externally publishedYes

Research Keywords

  • edge detection
  • light field imaging
  • meta-lens
  • metasurface

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

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