Paper Info
Title
GPU based parallel image processing library for embedded systems
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.
Year
Venue
Keywords
2014
2014 International Conference on Computer Vision Theory and Applications (VISAPP)
GPGPU,OpenCL,Embedded Systems,Image Processing,Parallel Computing
Field
DocType
Volume
Graphics,Kernel (linear algebra),Computer science,Instruction set,Image processing,Mobile device,General-purpose computing on graphics processing units,Digital image processing,Speedup,Embedded system
Conference
1
Citations 
PageRank 
References 
0
0.34
17
Authors
6
Name
Order
Citations
PageRank
Mustafa Cavus100.34
Hakki Doganer Sumerkan200.34
Osman Seckin Simsek310.69
Hasan Hassan435217.76
Abdullah Giray Yaglikci5432.51
Oguz Ergin642425.84