GPU-aided directional image/video interpolation for real time resolution upconversion

Author

Cao, Jie ; Che, Ming-Chao ; Wu, Xiaolin ; Liang, Jie

Author_Institution

Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, ON, Canada

fYear

2009

fDate

5-7 Oct. 2009

Firstpage

1

Lastpage

6

Abstract

Image/video spatial resolution upconversion aims to obtain a high resolution output from the original low resolution input. Fast resolution upconversion is desired in many applications. In this paper, we develop a GPU-friendly two-pass directional image/video resolution upconversion algorithm and present a GPU implementation of the method, using the NVIDIA CUDA (Compute Unified Device Architecture) technology. Design considerations to speed up the execution are discussed, by taking full advantage of the properties of the CUDA framework and the upconversion scheme. Experimental results show that using a mid-range GPU card, the GPU-optimized resolution upconversion implementation can be more than five times as fast as the original method.

Keywords

computer graphics; coprocessors; image resolution; video signal processing; CUDA; GPU; NVIDIA; compute unified device architecture; directional image/video interpolation; real time resolution upconversion; spatial resolution; Computer architecture; Graphics; Image coding; Image reconstruction; Image resolution; Interpolation; Multimedia communication; Signal resolution; Spatial resolution; Video compression;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Signal Processing, 2009. MMSP '09. IEEE International Workshop on

Conference_Location

Rio De Janeiro

Print_ISBN

978-1-4244-4463-2

Electronic_ISBN

978-1-4244-4464-9

Type

conf

DOI

10.1109/MMSP.2009.5293313

Filename

5293313