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.


Published in:
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
Presented at:
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Taipei, Taiwan, 19 -24 April 2009
Year:
2009
Publisher:
Taipei, Taiwan
Keywords:
Laboratories:




 Record created 2008-10-03, last modified 2018-09-13

n/a:
Download fulltextPDF
External link:
Download fulltextURL
Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)