• DocumentCode
    726835
  • Title

    LiSens- A Scalable Architecture for Video Compressive Sensing

  • Author

    Jian Wang ; Gupta, Mohit ; Sankaranarayanan, Aswin C.

  • Author_Institution
    ECE Dept., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    2015
  • fDate
    24-26 April 2015
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    The measurement rate of cameras that take spatially multiplexed measurements by using spatial light modulators (SLM) is often limited by the switching speed of the SLMs. This is especially true for single-pixel cameras where the photodetector operates at a rate that is many orders-of-magnitude greater than the SLM. We study the factors that determine the measurement rate for such spatial multiplexing cameras (SMC) and show that increasing the number of pixels in the device improves the measurement rate, but there is an optimum number of pixels (typically, few thousands) beyond which the measurement rate does not increase. This motivates the design of LiSens, a novel imaging architecture, that replaces the photodetector in the single-pixel camera with a 1D linear array or a line-sensor. We illustrate the optical architecture underlying LiSens, build a prototype, and demonstrate results of a range of indoor and outdoor scenes. LiSens delivers on the promise of SMCs: imaging at a megapixel resolution, at video rate, using an inexpensive low-resolution sensor.
  • Keywords
    data compression; image resolution; photodetectors; space division multiplexing; spatial light modulators; video cameras; video coding; 1D linear array; SLM; SMC; design-of-LiSens; imaging architecture; indoor scenes; inexpensive low-resolution sensor; line-sensor; megapixel resolution; optical architecture; outdoor scene; photodetector; single-pixel camera; spatial light modulator; spatial multiplexing camera; spatially multiplexed measurement; video compressive sensing; video rate; Cameras; Lenses; Multiplexing; Prototypes; Relays; Spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Photography (ICCP), 2015 IEEE International Conference on
  • Conference_Location
    Houston,TX
  • Type

    conf

  • DOI
    10.1109/ICCPHOT.2015.7168369
  • Filename
    7168369