Coded and compressive THz imaging with metamaterials

被引:0
作者
Watts, Claire M. [1 ]
Shrekenhamer, David [1 ]
Montoya, John [2 ]
Lipworth, Guy [3 ]
Hunt, John [3 ]
Sleasman, Timothy [1 ]
Krishna, Sanjay [2 ]
Smith, David R. [3 ]
Padilla, Willie J. [1 ]
机构
[1] Boston Coll, Dept Phys, 140 Commonwealth Ave, Chestnut Hill, MA 02467 USA
[2] Univ New Mexico, Dept Elect & Comp Engn, Ctr High Technol Mat, Albuquerque, NM 87106 USA
[3] Duke Univ, Dept Elect & Comp Engn, Center Metamat & Integrated Plasmon, Durham, NC 27708 USA
来源
TERAHERTZ, RF, MILLIMETER, AND SUBMILLIMETER-WAVE TECHNOLOGY AND APPLICATIONS VII | 2014年 / 8985卷
关键词
Metamaterials; Imaging; Terahertz; Compressive Sensing; Coded Aperture Imaging; TERAHERTZ SPECTROSCOPY;
D O I
10.1117/12.2058082
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Imaging in long wavelength regimes holds huge potential in many fields, from security to skin cancer detection. However, it is often difficult to image at these frequencies - the so called `THz gap(1)' is no exception. Current techniques generally involve mechanically raster scanning a single detector to gain spatial information(2), or utilization of a THz focal plane array (FPA)(3). However, raster scanning results in slow image acquisition times and FPAs are relatively insensitive to THz radiation, requiring the use of high powered sources. In a different approach, a single pixel detector can be used in which radiation from an object is spatially modulated with a coded aperture to gain spatial information. This multiplexing technique has not fully taken off in the THz regime due to the lack of efficient coded apertures, or spatial light modulators (SLMs), that operate in this regime. Here we present the implementation of a single pixel THz camera using an active SLM. We use metamaterials to create an electronically controllable SLM, permitting the acquisition of high-fidelity THz images. We gain a signal-to-noise advantage over raster scanning schemes through a multiplexing technique(4). We also use a source that is orders of magnitude lower in power than most THz FPA implementations(3,5). Weare able to utilize compressive sensing algorithms to reduce the number of measurements needed to reconstruct an image, and hence increase our frame rate to 1 Hz. This first generation device represents a significant step towards the realization of a single pixel THz camera.
引用
收藏
页数:10
相关论文
共 29 条
  • [1] [Anonymous], 1997, PHYS CHEMESTRY EMGIN, DOI DOI 10.1121/1.418074
  • [2] A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
    Beck, Amir
    Teboulle, Marc
    [J]. SIAM JOURNAL ON IMAGING SCIENCES, 2009, 2 (01): : 183 - 202
  • [3] Imaging with terahertz radiation
    Chan, Wai Lam
    Deibel, Jason
    Mittleman, Daniel M.
    [J]. REPORTS ON PROGRESS IN PHYSICS, 2007, 70 (08) : 1325 - 1379
  • [4] A spatial light modulator for terahertz beams
    Chan, Wai Lam
    Chen, Hou-Tong
    Taylor, Antoinette J.
    Brener, Igal
    Cich, Michael J.
    Mittleman, Daniel M.
    [J]. APPLIED PHYSICS LETTERS, 2009, 94 (21)
  • [5] A single-pixel terahertz imaging system based on compressed sensing
    Chan, Wai Lam
    Charan, Kriti
    Takhar, Dharmpal
    Kelly, Kevin F.
    Baraniuk, Richard G.
    Mittleman, Daniel M.
    [J]. APPLIED PHYSICS LETTERS, 2008, 93 (12)
  • [6] Active terahertz metamaterial devices
    Chen, Hou-Tong
    Padilla, Willie J.
    Zide, Joshua M. O.
    Gossard, Arthur C.
    Taylor, Antoinette J.
    Averitt, Richard D.
    [J]. NATURE, 2006, 444 (7119) : 597 - 600
  • [7] Cheney W., 2008, NUMERICAL MATH COMPU, V6th
  • [8] THz Imaging Radar for Standoff Personnel Screening
    Cooper, Ken B.
    Dengler, Robert J.
    Llombart, Nuria
    Thomas, Bertrand
    Chattopadhyay, Goutam
    Siegel, Peter H.
    [J]. IEEE TRANSACTIONS ON TERAHERTZ SCIENCE AND TECHNOLOGY, 2011, 1 (01) : 169 - 182
  • [9] Single-pixel imaging via compressive sampling
    Duarte, Marco F.
    Davenport, Mark A.
    Takhar, Dharmpal
    Laska, Jason N.
    Sun, Ting
    Kelly, Kevin F.
    Baraniuk, Richard G.
    [J]. IEEE SIGNAL PROCESSING MAGAZINE, 2008, 25 (02) : 83 - 91
  • [10] Ganesh A., 2010, SolveFISTA