Genetic programming on GPUs for image processing
Created by W.Langdon from
gp-bibliography.bib Revision:1.5700
- @Article{harding_genetic_2008,
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author = "S. Harding and W. Banzhaf",
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title = "Genetic programming on {GPUs} for image processing",
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journal = "International Journal of High Performance Systems
Architecture",
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year = "2008",
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volume = "1",
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number = "4",
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pages = "231--240",
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keywords = "genetic algorithms, genetic programming, GPU, graphics
processing units, image filters, image processing,
parallel processing, reverse engineering",
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ISSN = "1751-6528",
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URL = "
http://www.inderscience.com/search/index.php?action=record&rec_id=24207&prevQuery=&ps=10&m=or",
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DOI = "
doi:10.1504/IJHPSA.2008.024207",
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abstract = "The evolution of image filters using genetic
programming is a relatively unexplored task. This is
most likely due to the high computational cost of
evaluating the evolved programs. The parallel
processors available on modern graphics cards can be
used to greatly increase the speed of evaluation.
Previous papers in this area dealt with tasks such as
noise reduction and edge detection. Here we demonstrate
that other more complicated processes can also be
successfully evolved and that we can 'reverse engineer'
the output from filters used in common graphics
manipulation programs.",
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notes = "IJHPSA",
- }
Genetic Programming entries for
Simon Harding
Wolfgang Banzhaf
Citations