CMOS Compressed Imaging by Random Convolution

We present a CMOS imager with built-in capability to perform Compressed Sensing. The adopted sensing strategy is the random Convolution due to J. Romberg. 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.


Publié dans:
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
Présenté à:
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Taipei, Taiwan, 19 -24 April 2009
Année
2009
Publisher:
Taipei, Taiwan
Mots-clefs:
Laboratoires:




 Notice créée le 2008-10-03, modifiée le 2019-03-16

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