Metasurface-based computational imaging:a review
作者机构：Nanjing UniversityCollaborative Innovation Center of Advanced MicrostructuresNational Laboratory of Solid-State MicrostructuresNanjingChina Nanjing UniversitySchool of Electronic Sciences and EngineeringNanjingChina Nanjing UniversityCollege of Engineering and Applied SciencesJiangsu Key Laboratory of Artificial Functional MaterialsNanjingChina
出 版 物：《Advanced Photonics》 (先进光子学（英文）)
年 卷 期：2024年第6卷第1期
页 面：43-63页
核心收录：
学科分类：070207[理学-光学] 07[理学] 08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 0803[工学-光学工程] 0702[理学-物理学]
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)
主 题：metasurface computational imaging inverse problem algorithm
摘 要：Metasurface-based imaging has attracted considerable attention owing to its compactness,multifunctionality,and subwavelength coding *** the integration of computational imaging techniques,researchers have actively explored the extended capabilities of metasurfaces,enabling a wide range of imaging *** present an overview of the recent progress in metasurface-based imaging techniques,focusing on the perspective of computational ***,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 *** 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.
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