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

Autor: Chen Mu Ku, Yan Yue, Liu Xiaoyuan, Wu Yongfeng, Zhang Jingcheng, Yuan Jiaqi, Zhang Zhengnan, Tsai Din Ping
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Nanophotonics, Vol 10, Iss 14, Pp 3709-3715 (2021)
Druh dokumentu: article
ISSN: 2192-8614
DOI: 10.1515/nanoph-2021-0239
Popis: 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.
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