DocumentCode :
3515234
Title :
CMOS compressed imaging by Random Convolution
Author :
Jacques, L. ; Vandergheynst, P. ; Bibet, A. ; Majidzadeh, V. ; Schmid, A. ; Leblebici, Y.
Author_Institution :
Signal Process. Lab., Swiss Fed. Inst. of Technol., Lausanne
fYear :
2009
fDate :
19-24 April 2009
Firstpage :
1113
Lastpage :
1116
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.
Keywords :
CMOS image sensors; convolution; image coding; shift registers; ADC reading; CMOS compressed imaging; CMOS imager; CMOS pixel; acquisition model; compressed sensing coding; compressed sensing theory; filter sequence; imager focal plane; pseudorandom configuration; pseudorandom redirection; pseudorandom triggering; random convolution; shift register set; CMOS image sensors; Compressed sensing; Computer simulation; Convolution; Filters; Image coding; Noise robustness; Pixel; Semiconductor device modeling; Shift registers; Analog Processing; CMOS; Compressed Sensing; Imager; Random Convolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
ISSN :
1520-6149
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2009.4959783
Filename :
4959783
Link To Document :
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