Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/1983
Title: GPU based Parallel Image Processing Library for Embedded Systems
Authors: Çavuş, Mustafa
Sümerkan, Hakkı Doğaner
Şimşek, Osman Seçkin
Hassan, Hasan
Yağlıkçı, Abdullah Giray
Ergin, Oğuz
143001
Keywords: GPGPU
OpenCL
Embedded Systems
Image Processing
Parallel Computing
Issue Date: 2014
Publisher: IEEE
Source: Cavus, M., Sumerkan, H. D., Simsek, O. S., Hassan, H., Yaglikci, A. G., & Ergin, O. (2014, January). Gpu based parallel image processing library for embedded systems. In 2014 International Conference on Computer Vision Theory and Applications (VISAPP) (Vol. 1, pp. 234-241). IEEE.
Abstract: Embedded image processing systems have many challenges, due to large computational requirements and other physical, power, and environmental constraints. However recent contemporary mobile devices include a graphical processing unit (GPU) in order to offer better use interface in terms of graphics. Some of these embedded GPUs also support OpenCL which allows the use of computation capacity of embedded GPUs for general purpose computing. Within this OpenCL support, challenges of image processing in embedded systems become easier to handle. In this paper, we present a new OpenCL-based image processing library, named TRABZ-10, which is specifically designed to run on an embedded platform. Our results show that the functions of TRABZ-10 show 7X speedup on embedded platform over the functions of OpenCV on average.
Description: 9th International Conference on Computer Vision Theory and Applications (VISAPP) (2014 : Lisbon, PORTUGAL)
URI: https://ieeexplore.ieee.org/abstract/document/7294812
https://hdl.handle.net/20.500.11851/1983
ISBN: 978-9-8975-8133-5
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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