Journal
NANOPHOTONICS
Volume 10, Issue 14, Pages 3709-3715Publisher
WALTER DE GRUYTER GMBH
DOI: 10.1515/nanoph-2021-0239
Keywords
edge detection; light field imaging; meta-lens; metasurface
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Funding
- Shenzhen Science and Technology Innovation Commission Grant [SGDX2019081623281169]
- University Grants Committee/Research Grants Council of the Hong Kong Special Administrative Region, China [AoE/P-502/20]
- Department of Science and Technology of Guangdong Province [2020B1515120073]
- Hong Kong Polytechnic University [9B0Z, BD8X, BBXE]
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The article introduces an imaging system for light-field edge detection based on a gallium nitride achromatic meta-lens array, capable of one-dimensional to three-dimensional edge detection. With 60x60 achromatic meta-lenses operating in the visible range, the system captures and computes all light field information, providing focused edge images with depth estimation through image rendering. The multidimensional edge detection system offers advantages such as broadband detection and device miniaturization, showing potential applications in biological diagnosis and robotic vision.
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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