JPEG2000 image compression method based on GPGPU

DOI

10.2991/iccia.2012.64How to use a DOI?

Keywords

JPEG2000, DWT, GPGPU, parallel computing, CUDA

Abstract

In order to improve the compression speed of JPEG2000, the JPEG2000 compression standard is analysised and it concluded that the part data of the core algorithm that is DWT in JPEG2000 are independent from each other, so it is very suitable for parallel processing. CUDA (Compute Unified Device Architecture) is a latest software and hardware exploitation platform released by NVIDIA which is very suitable for large-scale data parallel computing.Using CUDA technology on general purpose graphic process unit(GPGPU) could speed up DWT algorithm parallelly and the program is optimized based on the characteristics of GPGPU storage space. The obtained experimental results show the DWT algorithm that is optimized by CUDA parallelly can improve the computing speed.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Weiling Wang
PY  - 2014/05
DA  - 2014/05
TI  - JPEG2000 image compression method based on GPGPU
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 263
EP  - 266
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.64
DO  - 10.2991/iccia.2012.64
ID  - Wang2014/05
ER  -