Single-pixel imaging and metasurface imaging (Invited)

被引:0
|
作者
Zheng P. [1 ]
Liu Y. [2 ]
Liu H. [1 ,2 ]
机构
[1] Institute of Applied Physics and Materials Engineering, University of Macau, Macau
[2] Department of Physics and Chemistry, Faculty of Science and Technology, University of Macau, Macau
关键词
Computational imaging; Metasurface; Single-pixel imaging;
D O I
10.3788/IRLA20211058
中图分类号
学科分类号
摘要
As a typical computational imaging modality, single-pixel imaging uses a single-pixel detector to measure the light intensities reflected or transmitted from the target after its interaction with a series of patterns. By calculating the correlation of the measured intensities and relevant patterns with different reconstruction algorithms, the target image can be recovered. Compared with multi-pixel detector (i.e. CCD or CMOS), single-pixel imaging overcomes hardware limitations and the detection efficiency is higher, and the response is faster in some special wavebands. Metasurfaces are a kind of artificial two-dimensional materials consisting of an array of subwavelength metallic or dielectric unit cells. In the optical wavelength regime, the metasurface can display various holograms by adjusting different degrees of freedom of incident light. In the microwave regime, the metasurface can couple with the waveguide and emit various radiating modes as patterns. The research background, imaging principle, reconstruction algorithms of single-pixel imaging, and the research background of metasurface imaging were reviewed. The discussion of relevant works was mainly focused on the combination of single-pixel imaging and metasurface imaging in optical and microwave regimes, and finally a perspective on the potential development in future was proposed. Copyright ©2021 Infrared and Laser Engineering. All rights reserved.
引用
收藏
相关论文
共 83 条
  • [1] Sen P, Chen B, Garg G, Et al., Dual photography, ACM SIGGRAPH, pp. 745-755, (2005)
  • [2] Duarte M F, Davenport M A, Takhar D, Et al., Single-pixel imaging via compressive sampling, IEEE Signal Process Mag, 25, 2, pp. 83-91, (2008)
  • [3] Welsh S S, Edgar M P, Bowman R, Et al., Fast full-color computational imaging with single-pixel detectors, Opt Express, 21, 20, pp. 23068-23074, (2013)
  • [4] Bian L, Suo J, Situ G, Et al., Multispectral imaging using a single bucket detector, Sci Rep, 6, 1, (2016)
  • [5] Rousset F, Ducros N, Peyrin F, Et al., Time-resolved multispectral imaging based on an adaptive single-pixel camera, Opt Express, 26, 8, pp. 10550-10558, (2018)
  • [6] Zhang Z, Liu S, Peng J, Et al., Simultaneous spatial, spectral, and 3D compressive imaging via efficient Fourier single-pixel measurements, Optica, 5, 3, pp. 315-319, (2018)
  • [7] Edgar M P, Gibson G M, Bowman R W, Et al., Simultaneous real-time visible and infrared video with single-pixel detectors, Sci Rep, 5, 1, pp. 1-8, (2015)
  • [8] Chan W L, Charan K, Takhar D, Et al., A single-pixel terahertz imaging system based on compressed sensing, Appl Phys Lett, 93, 12, (2008)
  • [9] Watts C M, Shrekenhamer D, Montoya J, Et al., Terahertz compressive imaging with metamaterial spatial light modulators, Nat Photonics, 8, 8, pp. 605-609, (2014)
  • [10] Stantchev R I, Sun B, Hornett S M, Et al., Noninvasive, near-field terahertz imaging of hidden objects using a single-pixel detector, Sci Adv, 2, 6, (2016)