生物视觉启发的全色和异色传感钙钛矿智能相机。

IF 26.8 1区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Yu Li,Zikun Jin,Yujin Liu,Jian Wang,Shanshan Yu,Jingyang Xing,Jieuyu Tian,Xuyin Ding,Min Zhang,Qian Li,Zhong Ji,Xueli Chen,Shihe Yang
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引用次数: 0

摘要

生物视觉系统擅长获取和处理信息,但在这些能力之间往往存在权衡。例如,螳螂虾具有特殊的光谱感知能力,但由于神经处理有限,颜色感知能力较差。将螳螂虾的光谱探测能力与人类的视觉处理能力相结合,实现了全彩感知。利用气溶胶-液-固喷涂技术,开发了一系列高质量、过量离子迁移增强的钙钛矿窄带光电探测器,涵盖了紫外到可见光光谱。这些探测器使计算多光谱成像系统能够一次捕获7张光谱图像。设计了一个基于深度学习的颜色融合网络,有效地将多光谱输入转换为RGB表示,显著增强了这些受螳螂虾启发的多光谱相机的颜色识别能力,并提供了克服异色现象的能力。这些钙钛矿智能相机利用生物视觉的优势,展示了一种新的多光谱成像方法,可以推进机器视觉、遥感和医学成像的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Biovision-Inspired Perovskite Intelligent Camera for Panchromatic and Metameric Sensing.
Biological vision systems excel at acquiring and processing information, but there is often a trade-off between these capabilities. For instance, mantis shrimp possess exceptional spectral sensing but poor color perception due to limited neural processing. Taking the best of both worlds, the mantis shrimp's spectral detection ability and the human-like visual processing power are integrated to achieve full-color perception. Using an aerosol-liquid-solid spraying technique, an array of high-quality, excess ion migration enhanced perovskite narrowband photodetectors spanning the ultraviolet to visible spectrum is developed. These detectors enable a computational multispectral imaging system that captures seven spectral images in one shot. A deep-learning-based color fusion network is designed to efficiently translate multispectral inputs into an RGB representation, significantly enhancing color recognition of these mantis shrimp-inspired multispectral cameras and affording the capability to overcome metamerism. These perovskite intelligent camera leverages the strengths of biological vision and demonstrate a novel approach to multispectral imaging that could advance applications in machine vision, remote sensing, and medical imaging.
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来源期刊
Advanced Materials
Advanced Materials 工程技术-材料科学:综合
CiteScore
43.00
自引率
4.10%
发文量
2182
审稿时长
2 months
期刊介绍: Advanced Materials, one of the world's most prestigious journals and the foundation of the Advanced portfolio, is the home of choice for best-in-class materials science for more than 30 years. Following this fast-growing and interdisciplinary field, we are considering and publishing the most important discoveries on any and all materials from materials scientists, chemists, physicists, engineers as well as health and life scientists and bringing you the latest results and trends in modern materials-related research every week.
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