Next Article in Journal
Study of the Electrocatalytic Activity of Cerium Oxide and Gold-Studded Cerium Oxide Nanoparticles Using a Sonogel-Carbon Material as Supporting Electrode: Electroanalytical Study in Apple Juice for Babies
Previous Article in Journal
Analysis and Description of HOLTIN Service Provision for AECG monitoring in Complex Indoor Environments
Sensors 2013, 13(4), 4961-4978; doi:10.3390/s130404961
Review

Compressive Sensing Image Sensors-Hardware Implementation

, *  and
Received: 28 January 2013; in revised form: 27 March 2013 / Accepted: 4 April 2013 / Published: 12 April 2013
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [553 KB, uploaded 21 June 2014]   |   Browse Figures
Abstract: The compressive sensing (CS) paradigm uses simultaneous sensing and compression to provide an efficient image acquisition technique. The main advantages of the CS method include high resolution imaging using low resolution sensor arrays and faster image acquisition. Since the imaging philosophy in CS imagers is different from conventional imaging systems, new physical structures have been developed for cameras that use the CS technique. In this paper, a review of different hardware implementations of CS encoding in optical and electrical domains is presented. Considering the recent advances in CMOS (complementary metal–oxide–semiconductor) technologies and the feasibility of performing on-chip signal processing, important practical issues in the implementation of CS in CMOS sensors are emphasized. In addition, the CS coding for video capture is discussed.
Keywords: compressive sensing; image sensor; CS-CMOS imager; coded exposure; multiple-camera; high frame rate; video coding compressive sensing; image sensor; CS-CMOS imager; coded exposure; multiple-camera; high frame rate; video coding
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


MDPI and ACS Style

Dadkhah, M.; Deen, M.J.; Shirani, S. Compressive Sensing Image Sensors-Hardware Implementation. Sensors 2013, 13, 4961-4978.

AMA Style

Dadkhah M, Deen MJ, Shirani S. Compressive Sensing Image Sensors-Hardware Implementation. Sensors. 2013; 13(4):4961-4978.

Chicago/Turabian Style

Dadkhah, Mohammadreza; Deen, M. J.; Shirani, Shahram. 2013. "Compressive Sensing Image Sensors-Hardware Implementation." Sensors 13, no. 4: 4961-4978.


Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert