Publication Details
GPU Acceleration of 2D-DWT Image Compression in MATLAB with CUDA
GPU, CUDA, 2D wavelet transform, image compression, Matlab
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.
@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"
}