Title: Genetic programming on GPUs for image processing

Authors: S. Harding, W. Banzhaf

Addresses: Department of Computer Science, Memorial University of Newfoundland, St. John's, NL A1B 3X5, Canada. ' Department of Computer Science, Memorial University of Newfoundland, St. John's, NL A1B 3X5, Canada

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.

Keywords: graphics processing units; GPU; image processing; genetic programming; image filters; reverse engineering; parallel processing.

DOI: 10.1504/IJHPSA.2008.024207

International Journal of High Performance Systems Architecture, 2008 Vol.1 No.4, pp.231 - 240

Available online: 29 Mar 2009

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