• DocumentCode
    3515234
  • Title

    CMOS compressed imaging by Random Convolution

  • Author

    Jacques, L. ; Vandergheynst, P. ; Bibet, A. ; Majidzadeh, V. ; Schmid, A. ; Leblebici, Y.

  • Author_Institution
    Signal Process. Lab., Swiss Fed. Inst. of Technol., Lausanne
  • fYear
    2009
  • fDate
    19-24 April 2009
  • Firstpage
    1113
  • Lastpage
    1116
  • Abstract
    We present a CMOS imager with built-in capability to perform Compressed Sensing coding by Random Convolution. It is achieved by a shift register set in a pseudo-random configuration. It acts as a convolutive filter on the imager focal plane, the current issued from each CMOS pixel undergoing a pseudo-random redirection controlled by each component of the filter sequence. A pseudo-random triggering of the ADC reading is finally applied to complete the acquisition model. The feasibility of the imager and its robustness under noise and non-linearities have been confirmed by computer simulations, as well as the reconstruction tools supporting the Compressed Sensing theory.
  • Keywords
    CMOS image sensors; convolution; image coding; shift registers; ADC reading; CMOS compressed imaging; CMOS imager; CMOS pixel; acquisition model; compressed sensing coding; compressed sensing theory; filter sequence; imager focal plane; pseudorandom configuration; pseudorandom redirection; pseudorandom triggering; random convolution; shift register set; CMOS image sensors; Compressed sensing; Computer simulation; Convolution; Filters; Image coding; Noise robustness; Pixel; Semiconductor device modeling; Shift registers; Analog Processing; CMOS; Compressed Sensing; Imager; Random Convolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-2353-8
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2009.4959783
  • Filename
    4959783