CMOS Compressed Imaging by Random Convolution

• Presented at: 34th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Taipei, Taiwan, April 19-24
• Published in: Proceedings of the 34th International Conference on Acoustics, Speech and Signal Processing (ICASSP), p. 1113-1116
• : , 2009

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: Compressed Sensing, Imager, Analog ; Processing, Random Convolution, CMOS.

Reference

• LSM-CONF-2010-007
• doi:10.1109/ICASSP.2009.4959783
• View record in Web of Science

• URL: http://ieeexplore.ieee.org/search/srchabstract.jsp?arnumber=4959783&isnumber=4959496&punumber=4912736&k2dockey=4959783@ieeecnfs&query=((majidzadeh)%3Cin%3Eau+)&pos=2&access=no

Record created on 2010-01-21, modified on 2012-03-21