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. Journal articles
  4. A Relative Imaging CMOS Image Sensor for High Dynamic Range and High Frame-Rate Machine Vision Imaging Applications
 
research article

A Relative Imaging CMOS Image Sensor for High Dynamic Range and High Frame-Rate Machine Vision Imaging Applications

Katic, Nikola  
•
Popovic, Vladan  
•
Cojbasic, Radisav  
Show more
2015
IEEE Sensors Journal

This paper proposes an unconventional image acquisition scheme for machine vision applications, based on detecting ratios of illumination (pixel) intensities. Detecting relative ratios enables capturing the scene features and patterns almost independently from the local scene illumination resulting in potentially extremely high dynamic range. Moreover, detecting signal ratios using a fully differential circuit optimally suits the intrinsic nature of very large scale integrated design. A scalable and compact hardware implementation is proposed as a proof-of-concept toward relative image acquisition. The proposed photo-current-ratio-detecting pixels completely bypass the need of conventional photo-current integration which enables high frame-rate operation of up to 24 000 frames/s. The pulse-width-modulated output of the proposed pixel is captured by compact column-parallel readout circuits based on digital counters. The developed 32 x 32 pixel array prototype CMOS image sensor consumes 4 mW of power operating at a nominal 9765 frames/s frame rate, and 6.8 mW of power operating at a maximum 24 000 frames/s. The presented prototype design is fully scalable toward newer CMOS fabrication nodes and higher sensor resolution.

  • Details
  • Metrics
Type
research article
DOI
10.1109/Jsen.2015.2413896
Web of Science ID

WOS:000355223800033

Author(s)
Katic, Nikola  
Popovic, Vladan  
Cojbasic, Radisav  
Schmid, Alexandre  
Leblebici, Yusuf  
Date Issued

2015

Publisher

Institute of Electrical and Electronics Engineers

Published in
IEEE Sensors Journal
Volume

15

Issue

7

Start page

4121

End page

4129

Subjects

CMOS image sensor

•

high frame rate

•

HDR

•

relative acquisition

•

contrast imaging

•

machine vision

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LSM  
Available on Infoscience
August 24, 2015
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/117288
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