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Detail publikace
SEKANINA, L. VAŠÍČEK, Z. MRÁZEK, V.
Originální název
Approximate Circuits in Low-Power Image and Video Processing: The Approximate Median Filter
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
Approximate computing, circuit design, evolutionary computation, image filter
Autoři
SEKANINA, L.; VAŠÍČEK, Z.; MRÁZEK, V.
Vydáno
31. 7. 2017
ISSN
1210-2512
Periodikum
Radioengineering
Ročník
26
Číslo
3
Stát
Česká republika
Strany od
623
Strany do
632
Strany počet
10
URL
https://www.radioeng.cz/fulltexts/2017/17_03_0623_0632.pdf
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" }