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GPU Image Processing Library

By Michal Čermák

Abstract

This work is concerned with architecture of recent Nvidia graphics cards and application programming interface CUDA. That is used to create accelerated image processing library. It place emphasis on testing performance gain compassion with high optimized and used OpenCv library

Topics: acceleration; convolution; zpracování obrazu; konverze barevného modelu.; paralelní zpracování; GPGPU; image processing; convolution filter; FFT; konvoluce; graphics card; konvoluční filtr; grafická karta; color space conversion.; SIMD; GPU; akcelerace; parallel computing
Publisher: Vysoké učení technické v Brně. Fakulta informačních technologií
Year: 2008
OAI identifier: oai:invenio.nusl.cz:238332
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