Genetic programming on GPUs for image processing

Created by W.Langdon from gp-bibliography.bib Revision:1.5700

@Article{harding_genetic_2008,

• author = "S. Harding and W. Banzhaf",
• title = "Genetic programming on {GPUs} for image processing",
• journal = "International Journal of High Performance Systems Architecture",
• year = "2008",
• volume = "1",
• number = "4",
• pages = "231--240",
• keywords = "genetic algorithms, genetic programming, GPU, graphics processing units, image filters, image processing, parallel processing, reverse engineering",
• ISSN = "1751-6528",
• URL = "http://www.inderscience.com/search/index.php?action=record&rec_id=24207&prevQuery=&ps=10&m=or",
• DOI = "doi:10.1504/IJHPSA.2008.024207",
• 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.",
• notes = "IJHPSA",

}

Genetic Programming entries for Simon Harding Wolfgang Banzhaf

Citations