• DocumentCode
    189818
  • Title

    Super resolution infrared camera using single carbon nanotube photodetector

  • Author

    Liangliang Chen ; Zhanxin Zhou ; Ning Xi ; Ruiguo Yang ; Bo Song ; Zhiyong Sun ; Chengzhi Su

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
  • fYear
    2014
  • fDate
    2-5 Nov. 2014
  • Firstpage
    1038
  • Lastpage
    1041
  • Abstract
    Single pixel camera is one of most attractive applications of compressive sensing research, which opens up a new window for image capturing. It will make silicon blind wavelength camera affordable. However, the acquired images are low resolution compared to commercialized single-lens reflex visible camera due to the limited computation and accuracy of compressive sensing. In this work, by analyzing optics of single pixel imaging system, we present a novel design for single pixel camera, which allows for recovering super resolution image by carbon nanotube based infrared photodetector. It samples multiple angular images through different pin holes so that more information is captured. Then, a robust reconstruction algorithm is applied to recover high resolution image. The performance of high resolution single pixel camera can achieve million pixels image from angular images.
  • Keywords
    cameras; carbon nanotubes; image reconstruction; image resolution; infrared detectors; infrared imaging; nanosensors; nanotube devices; photodetectors; C; commercialized single-lens reflex visible camera; compressive sensing research; image acquisition; image capturing; image reconstruction algorithm; multiple angular image sampling; silicon blind wavelength camera; single carbon nanotube photodetector; single pixel camera; single pixel imaging system; super resolution image recovery; super resolution infrared camera; Apertures; Cameras; Compressed sensing; Image reconstruction; Image resolution; Mirrors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SENSORS, 2014 IEEE
  • Conference_Location
    Valencia
  • Type

    conf

  • DOI
    10.1109/ICSENS.2014.6985181
  • Filename
    6985181