JPEG 2000 Image Compression Using Wavelet Transforms

JPEG 2000 Image Compression Using Wavelet Transforms

In this work, an in-depth study on the underlying coding techniques used in both the original JPEG algorithm and the JPEG2000 algorithm is carried out.

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Bibliographic Details
Main Author: Yong, Joseph Chun Seong
Format: Thesis
Published: 2006
Subjects:
TK Electrical engineering
Electronics Nuclear engineering
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id my-mmu-ep.1116
record_format uketd_dc
spelling my-mmu-ep.11162010-08-23T03:53:42Z JPEG 2000 Image Compression Using Wavelet Transforms 2006-06 Yong, Joseph Chun Seong TK Electrical engineering. Electronics Nuclear engineering In this work, an in-depth study on the underlying coding techniques used in both the original JPEG algorithm and the JPEG2000 algorithm is carried out. 2006-06 Thesis http://shdl.mmu.edu.my/1116/ http://myto.perpun.net.my/metoalogin/logina.php masters Multimedia University Research Library
institution Multimedia University
collection MMU Institutional Repository
topic TK Electrical engineering
Electronics Nuclear engineering
spellingShingle TK Electrical engineering
Electronics Nuclear engineering
Yong, Joseph Chun Seong
JPEG 2000 Image Compression Using Wavelet Transforms
description In this work, an in-depth study on the underlying coding techniques used in both the original JPEG algorithm and the JPEG2000 algorithm is carried out.
format Thesis
qualification_level Master's degree
author Yong, Joseph Chun Seong
author_facet Yong, Joseph Chun Seong
author_sort Yong, Joseph Chun Seong
title JPEG 2000 Image Compression Using Wavelet Transforms
title_short JPEG 2000 Image Compression Using Wavelet Transforms
title_full JPEG 2000 Image Compression Using Wavelet Transforms
title_fullStr JPEG 2000 Image Compression Using Wavelet Transforms
title_full_unstemmed JPEG 2000 Image Compression Using Wavelet Transforms
title_sort jpeg 2000 image compression using wavelet transforms
granting_institution Multimedia University
granting_department Research Library
publishDate 2006
_version_ 1747829294645641216

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