Browse > Article
http://dx.doi.org/10.5302/J.ICROS.2005.11.5.393

Development of Real-Time Image Processing System Using GPU  

Oh Jae-Hong (중앙대학교 전자전기공학부)
Kang Hoon (중앙대학교 전자전기공학부)
Lee Ja-Yong (중앙대학교 전자전기공학부)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.11, no.5, 2005 , pp. 393-397 More about this Journal
Abstract
When a real-time image processing application is implemented with a general-purpose computer, CPU (Central Processing Unit) is usually heavily loaded and in many cases that CPU alone cannot meet the real-time requirement at all. Most modern computers are equipped with powerful Graphics Processing Units (GPUs) to accelerate graphics operations. There is a trend that the power of GPU outgrows that of CPU. If we take advantage of the powerful GPU for more general operations other than pure graphics operations, the processing time can be reduced. In this study, we will present techniques that apply GPU to general operations such as image processing procedures. Our experiment results show that significant speed-up can be achieved by using GPU.
Keywords
GPU; real-time; image processing; edge detection; histogram equalization;
Citations & Related Records
연도 인용수 순위
  • Reference
1 K. Dempski, Real-Time Rendering Tricks and Technique in DirectX, Premier, Boston, 2002
2 http://www.developer.nvidia.com
3 http://www.ati.com
4 K. Gray, Microsoft DirectX9 Programmable Graphics Pipeline, Microsoft Press, 2003
5 W. F. Engel, Direct3D ShaderX, Wordware Publishing, Plano, 2002
6 T. A. Moller and E. Haines, Real-Time Rendering, A. K. Peters, Natick, 2002
7 R. C. Gonzalez and R. E Woods, Digital Image Processing, Addison Wesley, Reading, 1992
8 G. Shen, L. Zhu, S. Li, H. Y. Shum and Y. Q. Zhang, 'Accelerating video decoding using GPU', Proc. of the Conf. ICASSP'03, vol. 4, pp. 6-10., April, 2003
9 M. Macedonia, 'The GPU enters computing's mainstream', Computer, vol. 36, issue. 10, pp. 106-108, Oct, 2003   DOI   ScienceOn