Cover Image

Wavelet compression techniques for digital image optimization

MUCEET 2009 is organized by Malaysian Technical Universities Network (MTUN) comprising of Universiti Malaysia Perlis (UniMAP), Universiti Tun Hussein Onn (UTHM), Universiti Teknikal Melaka (UTeM) and Universiti Malaysia Pahang (UMP), 20th - 22nd June 2009 at M. S. Garden Hotel, Kuantan, Pahang.

Saved in:
Bibliographic Details
Main Authors: Ida Laila, Ahmad, Nor Azah, Mat Sout
Format: Working Paper
Language:English
Published: Universiti Malaysia Pahang (UMP) 2010
Subjects:
Compression
Wavelet Transform
JPEG
Mean square error (MSE)
Peak signal-tonoise ratio (PSNR)
MUCEET
Malaysian Technical Universities Conference on Engineering and Technology
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/8607
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimap-8607
record_format dspace
spelling my.unimap-86072010-08-12T03:15:11Z Wavelet compression techniques for digital image optimization Ida Laila, Ahmad Nor Azah, Mat Sout Compression Wavelet Transform JPEG Mean square error (MSE) Peak signal-tonoise ratio (PSNR) MUCEET Malaysian Technical Universities Conference on Engineering and Technology MUCEET 2009 is organized by Malaysian Technical Universities Network (MTUN) comprising of Universiti Malaysia Perlis (UniMAP), Universiti Tun Hussein Onn (UTHM), Universiti Teknikal Melaka (UTeM) and Universiti Malaysia Pahang (UMP), 20th - 22nd June 2009 at M. S. Garden Hotel, Kuantan, Pahang. A visual information given by a digital image consumes enormous storage capacity. Moreover, the memory, bandwidth and computational power required to store, transmit and processes a typical digital image is very expensive. Therefore, image compression is necessary to represent a digital image with the smallest possible number of bits without suffering any information loss as well as speeding up the transmission and minimizing storage requirement. This project employs Wavelet Transform to compress still image as this technique currently provide the most promising approach to highquality image compression. Comparison with JPEG compression were carried out on relevant aspect of the Human Visual System (HVS) and image quality assessment measurement such as the mean square error (MSE) and the peak signal-tonoise ratio (PSNR) by means of MATLAB® software. Finally, the findings proposed the Wavelet compressed image is more natural and pleasing to the eye. The results suggest that Wavelet compression offers better image quality especially when high compression is required. 2010-08-12T03:15:11Z 2010-08-12T03:15:11Z 2009-06-20 Working Paper http://hdl.handle.net/123456789/8607 en Proceedings of the Malaysian Technical Universities Conference on Engineering and Technology (MUCEET) 2009 Universiti Malaysia Pahang (UMP)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Compression
Wavelet Transform
JPEG
Mean square error (MSE)
Peak signal-tonoise ratio (PSNR)
MUCEET
Malaysian Technical Universities Conference on Engineering and Technology
spellingShingle Compression
Wavelet Transform
JPEG
Mean square error (MSE)
Peak signal-tonoise ratio (PSNR)
MUCEET
Malaysian Technical Universities Conference on Engineering and Technology
Ida Laila, Ahmad
Nor Azah, Mat Sout
Wavelet compression techniques for digital image optimization
description MUCEET 2009 is organized by Malaysian Technical Universities Network (MTUN) comprising of Universiti Malaysia Perlis (UniMAP), Universiti Tun Hussein Onn (UTHM), Universiti Teknikal Melaka (UTeM) and Universiti Malaysia Pahang (UMP), 20th - 22nd June 2009 at M. S. Garden Hotel, Kuantan, Pahang.
format Working Paper
author Ida Laila, Ahmad
Nor Azah, Mat Sout
author_facet Ida Laila, Ahmad
Nor Azah, Mat Sout
author_sort Ida Laila, Ahmad
title Wavelet compression techniques for digital image optimization
title_short Wavelet compression techniques for digital image optimization
title_full Wavelet compression techniques for digital image optimization
title_fullStr Wavelet compression techniques for digital image optimization
title_full_unstemmed Wavelet compression techniques for digital image optimization
title_sort wavelet compression techniques for digital image optimization
publisher Universiti Malaysia Pahang (UMP)
publishDate 2010
url http://dspace.unimap.edu.my/xmlui/handle/123456789/8607
_version_ 1643789266583552000
score 13.214268

Similar Items