Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)

JPEG2000 image compression method based on GPGPU

Authors
Weiling Wang
Corresponding Author
Weiling Wang
Available Online May 2014.
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/).

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Volume Title
Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
Series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
978-94-91216-41-1
ISSN
1951-6851
DOI
10.2991/iccia.2012.64How to use a DOI?
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/).

Cite this article

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  -