http://de.evo-art.org/index.php?action=history&feed=atom&title=Genetic_programming_on_GPUs_for_image_processing 2026-05-15T13:29:12Z Versionsgeschichte dieser Seite in de_evolutionary_art_org MediaWiki 1.27.4 http://de.evo-art.org/index.php?title=Genetic_programming_on_GPUs_for_image_processing&diff=1702&oldid=prev 2014-11-24T15:56:16Z

<p>Die Seite wurde neu angelegt: „ == Reference == S. Harding and W. Banzhaf: Genetic programming on GPUs for image processing. International Journal of High Performance Systems Architecture, 1…“</p> <p><b>Neue Seite</b></p><div><br /> == Reference ==<br /> S. Harding and W. Banzhaf: Genetic programming on GPUs for image processing. International Journal of High Performance Systems Architecture, 1(4), pp. 231-240, 2008. <br /> <br /> == DOI ==<br /> http://dx.doi.org/10.1504/IJHPSA.2008.024207<br /> <br /> == Abstract ==<br /> 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 &#039;reverse engineer&#039; the output from filters used in common graphics manipulation programs.<br /> <br /> == Extended Abstract ==<br /> <br /> == Bibtex == <br /> <br /> == Used References ==<br /> <br /> <br /> == Links ==<br /> === Full Text === <br /> [extern file]<br /> <br /> [[intern file]]<br /> <br /> === Sonstige Links ===</div>

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