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GPU Implementation of Faber Schauder Discrete Wavelet Transform using CUDA

by Assma Azeroual, Karim Afdel
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 42
Year of Publication: 2021
Authors: Assma Azeroual, Karim Afdel
10.5120/ijca2021921815

Assma Azeroual, Karim Afdel . GPU Implementation of Faber Schauder Discrete Wavelet Transform using CUDA. International Journal of Computer Applications. 183, 42 ( Dec 2021), 1-8. DOI=10.5120/ijca2021921815

@article{ 10.5120/ijca2021921815,
author = { Assma Azeroual, Karim Afdel },
title = { GPU Implementation of Faber Schauder Discrete Wavelet Transform using CUDA },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2021 },
volume = { 183 },
number = { 42 },
month = { Dec },
year = { 2021 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume183/number42/32208-2021921815/ },
doi = { 10.5120/ijca2021921815 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:19:25.498529+05:30
%A Assma Azeroual
%A Karim Afdel
%T GPU Implementation of Faber Schauder Discrete Wavelet Transform using CUDA
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 42
%P 1-8
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Faber Schauder discrete wavelet transform (FSDWT) has many interesting advantages in image and video processing owing to its simplicity and its multiscale-based theory. It preserves the pixel ranges, has arithmetic operations, and detects edges in multiscale representation. With the increase of image size and the real-time requirement of many applications, the FSDWT computation becomes complex and needs other techniques to deal with it. To solve this problem, the FSDWT is implemented in parallel on a Graphics Processing Unit (GPU) using Compute Unified Device Architecture (CUDA) code. The results demonstrate that the GPU-based FSDWT exceedingly outperforms the CPU FSDWT.

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Index Terms

Computer Science
Information Sciences

Keywords

Image processing FSDWT GPU CUDA Multiscale transform

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