Approximate Circuits in Low-Power Image and Video Processing: The Approximate Median Filter
Loading...
Date
2017-09
Authors
Sekanina, Lukas
Vasicek, Zdenek
Mrazek, Vojtech
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Společnost pro radioelektronické inženýrství
Altmetrics
Abstract
Low power image and video processing circuits are crucial in many applications of computer vision. Traditional techniques used to reduce power consumption in these applications have recently been accompanied by circuit approximation methods which exploit the fact that these applications are highly error resilient and, hence, the quality of image processing can be traded for power consumption. On the basis of a literature survey, we identified the components whose implementations are the most frequently approximated and the methods used for obtaining these approximations. One of the components is the median image filter. We propose, evaluate and compare two approximation strategies based on Cartesian genetic programming applied to approximate various common implementations of the median filter. For filters developed using these approximation strategies, trade-offs between the quality of filtering and power consumption are investigated. Under conditions of our experiments we conclude that better trade-offs are achieved when the image filter is evolved from scratch rather than a conventional filter is approximated.
Description
Citation
Radioengineering. 2017 vol. 26, č. 3, s. 623-632. ISSN 1210-2512
https://www.radioeng.cz/fulltexts/2017/17_03_0623_0632.pdf
https://www.radioeng.cz/fulltexts/2017/17_03_0623_0632.pdf
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en