Publication detail

GPU Acceleration of 2D-DWT Image Compression in MATLAB with CUDA

ŠIMEK, V.

Original Title

GPU Acceleration of 2D-DWT Image Compression in MATLAB with CUDA

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

This article will present the details about the acceleration of 2D wavelet-based medical data (image) compression on MATLAB with CUDA. It is obvious that the diagnostic materials (mostly as a certain type of image) are increasingly acquired in a digital format. Therefore, common need to daily manipulate huge amount of data brought about the issue of compression within a very less stipulated amount of time. Attention will be given to the acceleration processing flow which exploits the massive parallel computational power offered by the latest NVIDIA graphics processor unit (GPU). It brings a compute device that can be programmed using a C-like language using CUDA, (Compute Unified Device Architecture). In the same time, a number of attractive features can be exploited for a broad class of intensive data parallel computation tasks. The final part of discussion outlines possible directions towards future improvements of compression ratio and processing speed.

Keywords

GPU, CUDA, 2D wavelet transform, image compression, Matlab

Authors

ŠIMEK, V.

RIV year

2008

Released

8. 9. 2008

Publisher

IEEE Computer Society

Location

Liverpool

ISBN

978-0-7695-3325-4

Book

Proceedings 2nd UKSim European Symposium on Computer Modelling and Simulation

Pages from

274

Pages to

277

Pages count

4

BibTex

@inproceedings{BUT32107,
  author="Václav {Šimek}",
  title="GPU Acceleration of 2D-DWT Image Compression in MATLAB with CUDA",
  booktitle="Proceedings 2nd UKSim European Symposium on Computer Modelling and Simulation",
  year="2008",
  pages="274--277",
  publisher="IEEE Computer Society",
  address="Liverpool",
  isbn="978-0-7695-3325-4"
}