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