• DocumentCode
    3391750
  • Title

    A (256×256) pixel 76.7mW CMOS imager/ compressor based on real-time In-pixel compressive sensing

  • Author

    Majidzadeh, Vahid ; Jacques, Laurent ; Schmid, Alexandre ; Vandergheynst, Pierre ; Leblebici, Yusuf

  • Author_Institution
    Ecole Polytech. Fed. de Lausanne (EPFL), Lausanne, Switzerland
  • fYear
    2010
  • fDate
    May 30 2010-June 2 2010
  • Firstpage
    2956
  • Lastpage
    2959
  • Abstract
    A CMOS imager is presented which has the ability to perform localized compressive sensing on-chip. In-pixel convolutions of the sensed image with measurement matrices are computed in real time, and a proposed programmable two-dimensional scrambling technique guarantees the randomness of the coefficients used in successive observation. A power and area-efficient implementation architecture is presented making use of a single ADC. A 256×256 imager has been developed as a test vehicle in a 0.18μm CIS technology. Using an 11-bit ADC, a SNR of 18.6dB with a compression factor of 3.3 is achieved after reconstruction. The total power consumption of the imager is simulated at 76.7mW from a 1.8V supply voltage.
  • Keywords
    CMOS image sensors; analogue-digital conversion; convolution; ADC; CIS technology; CMOS compressor; CMOS imager; SNR; area-efficient implementation architecture; compression factor; in-pixel convolutions; localized compressive sensing on-chip; measurement matrices; power consumption; programmable 2D scrambling technique; real-time in-pixel compressive sensing; CMOS image sensors; Computational Intelligence Society; Computer architecture; Energy consumption; Image coding; Image reconstruction; Pixel; Testing; Vehicles; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4244-5308-5
  • Electronic_ISBN
    978-1-4244-5309-2
  • Type

    conf

  • DOI
    10.1109/ISCAS.2010.5538021
  • Filename
    5538021