Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Conferences, Workshops, Symposiums, and Seminars
  4. CMOS Compressed Imaging by Random Convolution
 
conference poster not in proceedings

CMOS Compressed Imaging by Random Convolution

Jacques, Laurent  
•
Vandergheynst, Pierre  
•
Bibet, Alexandre
Show more
2009
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

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.

  • Files
  • Details
  • Metrics
Type
conference poster not in proceedings
Author(s)
Jacques, Laurent  
Vandergheynst, Pierre  
Bibet, Alexandre
Majidzadeh, Vahid
Schmid, Alexandre
Leblebici, Yusuf
Date Issued

2009

Subjects

Compressed Sensing

•

Imager

•

Analog Processing

•

Random

•

Convolution

•

CMOS

•

LTS2

URL

URL

http://icassp09.com
Written at

EPFL

EPFL units
LTS2  
Event nameEvent placeEvent date
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

Taipei, Taiwan

19 -24 April 2009

Available on Infoscience
April 28, 2009
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/38167
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés