Approximate Circuits in Low-Power Image and Video Processing: The Approximate Median Filter
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- @Article{2968,
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author = "Lukas Sekanina and Zdenek Vasicek and Vojtech Mrazek",
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title = "Approximate Circuits in Low-Power Image and Video
Processing: The Approximate Median Filter",
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journal = "Radioengineering",
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year = "2017",
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volume = "26",
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number = "3",
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pages = "623--632",
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month = sep,
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keywords = "genetic algorithms, genetic programming, Cartesian
genetic programming, Approximate computing, circuit
design, evolutionary computation, image filter",
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ISSN = "1805-9600",
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URL = "https://www.radioeng.cz/papers/2017-3.htm",
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URL = "https://www.radioeng.cz/fulltexts/2017/17_03_0623_0632.pdf",
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DOI = "doi:10.13164/re.2017.0623",
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size = "10 pages",
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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 tradeoffs are
achieved when the image filter is evolved from scratch
rather than a conventional filter is approximated.",
- }
Genetic Programming entries for
Lukas Sekanina
Zdenek Vasicek
Vojtech Mrazek
Citations