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ICASSP
2009
IEEE

CMOS compressed imaging by Random Convolution

14 years 7 months ago
CMOS compressed imaging by Random Convolution
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.
Laurent Jacques, Pierre Vandergheynst, Alexandre B
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where ICASSP
Authors Laurent Jacques, Pierre Vandergheynst, Alexandre Bibet, Vahid Majidzadeh, Alexandre Schmid, Yusuf Leblebici
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