Design of a Deep Learning-Based Metalens Color Router for RGB-NIR Sensing

Design of a Deep Learning-Based Metalens Color Router for RGB-NIR Sensing

Metalens can achieve arbitrary light modulation by controlling the amplitude, phase, and polarization of the incident waves and have been applied across various fields. This paper presents a color router designed based on metalens, capable of effectively separating spectra from visible light to near...

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Bibliographic Details
Main Authors: Hua Mu, Yu Zhang, Zhenyu Liang, Haoqi Gao, Haoli Xu, Bingwen Wang, Yangyang Wang, Xing Yang
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Nanomaterials
Subjects:
deep learning
metalens
color filter
CMOS image sensor
Online Access:https://www.mdpi.com/2079-4991/14/23/1973
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