Next Article in Journal
Low-Gain, Low-Noise Integrated Neuronal Amplifier for Implantable Artifact-Reduction Recording System
Previous Article in Journal
Exploration of Charge Recycling DC-DC Conversion Using a Switched Capacitor Regulator
Previous Article in Special Issue
Synergistic Sensory Platform: Robotic Nurse
Article Menu

Export Article

Open AccessArticle
J. Low Power Electron. Appl. 2013, 3(3), 267-278; doi:10.3390/jlpea3030267

A Low Power CMOS Imaging System with Smart Image Capture and Adaptive Complexity 2D-DCT Calculation

Department of Electrical and Computer Engineering, University of Calgary, AB T2N1N4, Canada
*
Author to whom correspondence should be addressed.
Received: 4 February 2013 / Revised: 1 June 2013 / Accepted: 29 July 2013 / Published: 8 August 2013
(This article belongs to the Special Issue Energy Efficient Sensors and Applications)
View Full-Text   |   Download PDF [611 KB, 13 August 2013; original version 8 August 2013]   |  

Abstract

A novel low power CMOS imaging system with smart image capture and adaptive complexity 2D-Discrete Cosine Transform (DCT) is proposed. Compared with the existing imaging systems, it involves the smart image capture and image processing stages cooperating together and is very efficient. The type of each 8 × 8 block is determined during the image capture stage, and then input into the DCT block, along with the pixel values. The 2D-DCT calculation has adaptive computation complexity according to block types. Since the block type prediction has been moved to the front end, no extra time or calculation is needed during image processing or image capturing for prediction. The image sensor with block type decision circuit is implemented in TSMC 0.18 µm CMOS technology. The adaptive complexity 2D-DCT compression is implemented based on Cyclone EP1C20F400C8 device. The performance including the image quality of the reconstructed picture and the power consumption of the imaging system are compared to those of traditional CMOS imaging systems to show the benefit of the proposed low power algorithm. According to simulation, up to 46% of power consumption can be saved during 2D DCT calculation without extra loss of image quality for the reconstructed pictures compared with the conventional compression methods.
Keywords: CMOS imaging system; low power; smart image capture; adaptive complexity DCT CMOS imaging system; low power; smart image capture; adaptive complexity DCT
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Gao, Q.; Yadid-Pecht, O. A Low Power CMOS Imaging System with Smart Image Capture and Adaptive Complexity 2D-DCT Calculation. J. Low Power Electron. Appl. 2013, 3, 267-278.

Show more citation formats Show less citations formats

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
J. Low Power Electron. Appl. EISSN 2079-9268 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top