Compressing Images Using Multi-Level Wavelet Transform Algorithm (MWTA)

This study aims to use Wavelet Transform Algorithm for image compression. Multi-levels were used in this study with the aim to produce better results for compressing images.The Multi-level Wavelet Transform Algorithm (MWTA) consists of three phases namely, first level compression, second level comp...

Full description

Saved in:
Bibliographic Details
Main Author: Odeh, Ali Ahmad Alabd Abu
Format: Thesis
Language:en
en
Published: 2012
Subjects:
Online Access:https://etd.uum.edu.my/2935/1/Ali_Ahmad_Alabd_Abu_Odeh.pdf
https://etd.uum.edu.my/2935/3/Ali_Ahmad_Alabd_Abu_Odeh.pdf
https://etd.uum.edu.my/2935/
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1833436019282673664
author Odeh, Ali Ahmad Alabd Abu
author_facet Odeh, Ali Ahmad Alabd Abu
author_sort Odeh, Ali Ahmad Alabd Abu
building UUM Library
collection Institutional Repository
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
continent Asia
country Malaysia
description This study aims to use Wavelet Transform Algorithm for image compression. Multi-levels were used in this study with the aim to produce better results for compressing images.The Multi-level Wavelet Transform Algorithm (MWTA) consists of three phases namely, first level compression, second level compressing in the first level, and algorithm validation by compare.Therefore, Vaishnavi method is used to design and develop the prototype model.In this study, the experiment was conducted using different images (RGB). The algorithm and comparison was simulated using Matlab application. The results revealed that Multi-level Wavelet Transform Algorithm (MWTA) can be used in more than one level in this algorithm but the efficiency of this algorithm for compressing was found to be in the first level in terms of size.
format Thesis
id my.uum.etd-2935
institution Universiti Utara Malaysia
language en
en
publishDate 2012
record_format eprints
spelling my.uum.etd-29352016-04-27T06:59:20Z https://etd.uum.edu.my/2935/ Compressing Images Using Multi-Level Wavelet Transform Algorithm (MWTA) Odeh, Ali Ahmad Alabd Abu QA76 Computer software This study aims to use Wavelet Transform Algorithm for image compression. Multi-levels were used in this study with the aim to produce better results for compressing images.The Multi-level Wavelet Transform Algorithm (MWTA) consists of three phases namely, first level compression, second level compressing in the first level, and algorithm validation by compare.Therefore, Vaishnavi method is used to design and develop the prototype model.In this study, the experiment was conducted using different images (RGB). The algorithm and comparison was simulated using Matlab application. The results revealed that Multi-level Wavelet Transform Algorithm (MWTA) can be used in more than one level in this algorithm but the efficiency of this algorithm for compressing was found to be in the first level in terms of size. 2012 Thesis NonPeerReviewed text en https://etd.uum.edu.my/2935/1/Ali_Ahmad_Alabd_Abu_Odeh.pdf text en https://etd.uum.edu.my/2935/3/Ali_Ahmad_Alabd_Abu_Odeh.pdf Odeh, Ali Ahmad Alabd Abu (2012) Compressing Images Using Multi-Level Wavelet Transform Algorithm (MWTA). Masters thesis, Universiti Utara Malaysia.
spellingShingle QA76 Computer software
Odeh, Ali Ahmad Alabd Abu
Compressing Images Using Multi-Level Wavelet Transform Algorithm (MWTA)
title Compressing Images Using Multi-Level Wavelet Transform Algorithm (MWTA)
title_full Compressing Images Using Multi-Level Wavelet Transform Algorithm (MWTA)
title_fullStr Compressing Images Using Multi-Level Wavelet Transform Algorithm (MWTA)
title_full_unstemmed Compressing Images Using Multi-Level Wavelet Transform Algorithm (MWTA)
title_short Compressing Images Using Multi-Level Wavelet Transform Algorithm (MWTA)
title_sort compressing images using multi-level wavelet transform algorithm (mwta)
topic QA76 Computer software
url https://etd.uum.edu.my/2935/1/Ali_Ahmad_Alabd_Abu_Odeh.pdf
https://etd.uum.edu.my/2935/3/Ali_Ahmad_Alabd_Abu_Odeh.pdf
https://etd.uum.edu.my/2935/
url_provider http://etd.uum.edu.my/