Cover Image

Stack-run adaptive wavelet image compression using wavelet packets

We report on the development of an adaptive wavelet image coder based on stack-run representation of the quantized coefficients. The coder works by selecting an optimal wavelet packet basis for the given image and encoding the quantization indices for significant coefficients and zero runs between c...

Full description

Saved in:
Bibliographic Details
Main Authors: Awan, A. Majid, Rajpoot, Nasir M., Hussain, Syed Afaq, Md. Sap, Mohd. Noor
Format: Article
Published: Penerbit UTM Press 2007
Subjects:
T Technology (General)
Online Access:http://eprints.utm.my/id/eprint/8204/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.8204
record_format eprints
spelling my.utm.82042017-11-01T04:17:25Z http://eprints.utm.my/id/eprint/8204/ Stack-run adaptive wavelet image compression using wavelet packets Awan, A. Majid Rajpoot, Nasir M. Hussain, Syed Afaq Md. Sap, Mohd. Noor T Technology (General) We report on the development of an adaptive wavelet image coder based on stack-run representation of the quantized coefficients. The coder works by selecting an optimal wavelet packet basis for the given image and encoding the quantization indices for significant coefficients and zero runs between coefficients using a 4-ary arithmetic coder. Due to the fact that our coder exploits the redundancies present within individual sub bands, its addressing complexity is much lower than that of the wavelet zerotree coding algorithms. Experimental results show coding gains of up to 1.4 dB over the benchmark wavelet coding algorithm. Penerbit UTM Press 2007-12 Article PeerReviewed Awan, A. Majid and Rajpoot, Nasir M. and Hussain, Syed Afaq and Md. Sap, Mohd. Noor (2007) Stack-run adaptive wavelet image compression using wavelet packets. Jurnal Teknologi Maklumat, 19 (2). pp. 101-114. ISSN 0128-3790
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic T Technology (General)
spellingShingle T Technology (General)
Awan, A. Majid
Rajpoot, Nasir M.
Hussain, Syed Afaq
Md. Sap, Mohd. Noor
Stack-run adaptive wavelet image compression using wavelet packets
description We report on the development of an adaptive wavelet image coder based on stack-run representation of the quantized coefficients. The coder works by selecting an optimal wavelet packet basis for the given image and encoding the quantization indices for significant coefficients and zero runs between coefficients using a 4-ary arithmetic coder. Due to the fact that our coder exploits the redundancies present within individual sub bands, its addressing complexity is much lower than that of the wavelet zerotree coding algorithms. Experimental results show coding gains of up to 1.4 dB over the benchmark wavelet coding algorithm.
format Article
author Awan, A. Majid
Rajpoot, Nasir M.
Hussain, Syed Afaq
Md. Sap, Mohd. Noor
author_facet Awan, A. Majid
Rajpoot, Nasir M.
Hussain, Syed Afaq
Md. Sap, Mohd. Noor
author_sort Awan, A. Majid
title Stack-run adaptive wavelet image compression using wavelet packets
title_short Stack-run adaptive wavelet image compression using wavelet packets
title_full Stack-run adaptive wavelet image compression using wavelet packets
title_fullStr Stack-run adaptive wavelet image compression using wavelet packets
title_full_unstemmed Stack-run adaptive wavelet image compression using wavelet packets
title_sort stack-run adaptive wavelet image compression using wavelet packets
publisher Penerbit UTM Press
publishDate 2007
url http://eprints.utm.my/id/eprint/8204/
_version_ 1643644940964593664
score 13.211869

Similar Items