CMOS compressed imaging by Random Convolution

  • Authors:

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

  • Affiliations:

  • Signal Processing Laboratory (LTS2), Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland;Signal Processing Laboratory (LTS2), Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland;Microelectronic Systems Laboratory (LSM), Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland;Microelectronic Systems Laboratory (LSM), Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland;Microelectronic Systems Laboratory (LSM), Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland;Microelectronic Systems Laboratory (LSM), Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland

  • Venue:
  • ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
  • Year:
  • 2009

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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.