Multiwavelet and Estimation by Interpolation AnalysisBased Hybrid Color Image Compression

Nowadays, still images are used everywhere in the digital world. The shortages of storage capacity and transmission bandwidth make efficient compression solutions essential. A revolutionary mathematics tool, wavelet transform, has already shown its power in image processing. The major topic of this...

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Autor principal:	Ali Hussien Miry
Formato:	article
Lenguaje:	EN
Publicado:	Al-Khwarizmi College of Engineering – University of Baghdad 2008
Materias:	Image Processing MultiWavelet Transform. Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/03290637e3a7452bb1d8fa9271f19467
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spelling	oai:doaj.org-article:03290637e3a7452bb1d8fa9271f194672021-12-02T05:38:09ZMultiwavelet and Estimation by Interpolation AnalysisBased Hybrid Color Image Compression1818-1171https://doaj.org/article/03290637e3a7452bb1d8fa9271f194672008-01-01T00:00:00Zhttp://www.iasj.net/iasj?func=fulltext&aId=2364https://doaj.org/toc/1818-1171Nowadays, still images are used everywhere in the digital world. The shortages of storage capacity and transmission bandwidth make efficient compression solutions essential. A revolutionary mathematics tool, wavelet transform, has already shown its power in image processing. The major topic of this paper, is improve the compresses of still images by Multiwavelet based on estimation the high Multiwavelet coefficients in high frequencies sub band by interpolation instead of sending all Multiwavelet coefficients. When comparing the proposed approach with other compression methods Good result obtained.Ali Hussien MiryAl-Khwarizmi College of Engineering – University of BaghdadarticleImage ProcessingMultiWavelet Transform.Chemical engineeringTP155-156Engineering (General). Civil engineering (General)TA1-2040ENAl-Khawarizmi Engineering Journal, Vol 4, Iss 3, Pp 138-145 (2008)
institution	DOAJ
collection	DOAJ
language	EN
topic	Image Processing MultiWavelet Transform. Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Image Processing MultiWavelet Transform. Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040 Ali Hussien Miry Multiwavelet and Estimation by Interpolation AnalysisBased Hybrid Color Image Compression
description	Nowadays, still images are used everywhere in the digital world. The shortages of storage capacity and transmission bandwidth make efficient compression solutions essential. A revolutionary mathematics tool, wavelet transform, has already shown its power in image processing. The major topic of this paper, is improve the compresses of still images by Multiwavelet based on estimation the high Multiwavelet coefficients in high frequencies sub band by interpolation instead of sending all Multiwavelet coefficients. When comparing the proposed approach with other compression methods Good result obtained.
format	article
author	Ali Hussien Miry
author_facet	Ali Hussien Miry
author_sort	Ali Hussien Miry
title	Multiwavelet and Estimation by Interpolation AnalysisBased Hybrid Color Image Compression
title_short	Multiwavelet and Estimation by Interpolation AnalysisBased Hybrid Color Image Compression
title_full	Multiwavelet and Estimation by Interpolation AnalysisBased Hybrid Color Image Compression
title_fullStr	Multiwavelet and Estimation by Interpolation AnalysisBased Hybrid Color Image Compression
title_full_unstemmed	Multiwavelet and Estimation by Interpolation AnalysisBased Hybrid Color Image Compression
title_sort	multiwavelet and estimation by interpolation analysisbased hybrid color image compression
publisher	Al-Khwarizmi College of Engineering – University of Baghdad
publishDate	2008
url	https://doaj.org/article/03290637e3a7452bb1d8fa9271f19467
work_keys_str_mv	AT alihussienmiry multiwaveletandestimationbyinterpolationanalysisbasedhybridcolorimagecompression
_version_	1718400272846290944

Multiwavelet and Estimation by Interpolation AnalysisBased Hybrid Color Image Compression

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