Publication detail

Approximate Circuits in Low-Power Image and Video Processing: The Approximate Median Filter

SEKANINA, L. VAŠÍČEK, Z. MRÁZEK, V.

Original Title

Approximate Circuits in Low-Power Image and Video Processing: The Approximate Median Filter

Type

journal article in Web of Science

Language

English

Original 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.

Keywords

Approximate computing, circuit design, evolutionary computation, image filter

Authors

SEKANINA, L.; VAŠÍČEK, Z.; MRÁZEK, V.

Released

31. 7. 2017

ISBN

1210-2512

Periodical

Radioengineering

Year of study

26

Number

3

State

Czech Republic

Pages from

623

Pages to

632

Pages count

10

URL

BibTex

@article{BUT144467,
  author="Lukáš {Sekanina} and Zdeněk {Vašíček} and Vojtěch {Mrázek}",
  title="Approximate Circuits in Low-Power Image and Video Processing: The Approximate Median Filter",
  journal="Radioengineering",
  year="2017",
  volume="26",
  number="3",
  pages="623--632",
  doi="10.13164/re.2017.0623",
  issn="1210-2512",
  url="https://www.radioeng.cz/fulltexts/2017/17_03_0623_0632.pdf"
}