摘要
Metasurface-based imaging has attracted considerable attention owing to its compactness,multifunctionality,and subwavelength coding capability.With the integration of computational imaging techniques,researchers have actively explored the extended capabilities of metasurfaces,enabling a wide range of imaging methods.We present an overview of the recent progress in metasurface-based imaging techniques,focusing on the perspective of computational imaging.Specifically,we categorize and review existing metasurface-based imaging into three main groups,including(i)conventional metasurface design employing canonical methods,(ii)computation introduced independently in either the imaging process or postprocessing,and(iii)an end-to-end computation-optimized imaging system based upon metasurfaces.We highlight the advantages and challenges associated with each computational metasurface-based imaging technique and discuss the potential and future prospects of the computational boosted metaimager.
基金
supported by the National Key Research and Development Program of China(Grant Nos.2022YFA1205000 and 2022YFA1207200)
the National Natural Science Foundation of China(Grant Nos.12274217,61971465,and 12104225)
the Fundamental Research Funds for the Central Universities,China(Grant No.0210-14380184)
作者简介
Xuemei Hu is an associate research fellow at Nanjing University.She received her BS and PhD degrees from the University of Tsinghua in 2013 and 2018.Her current research interests include computational imaging and computer vision;Address all correspondence:Ting Xu is a professor at the National Laboratory of Solid-State Microstructures,College of Engineering and Applied Science,Nanjing University,China.He directs an optics laboratory,and his research interests include photonic metamaterials,metasurfaces,and metadevices,xuting@nju.edu.cn.
