True 2-D 5/3 wavelet transform and its application for CT image lossless compression

Wavelet transform is widely used in the field of digital image processing,and it usually processes image by separating the row and column,which can’t meet the human visual system(HVS)completely.To address this situation,a kind of true 2-D 5/3 wavelet transform was constructed,which was more consiste...

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Main Authors: Nini XU, Mingming ZHANG, Jianming WANG
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2016-06-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016122/
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author Nini XU
Mingming ZHANG
Jianming WANG
author_facet Nini XU
Mingming ZHANG
Jianming WANG
author_sort Nini XU
collection DOAJ
description Wavelet transform is widely used in the field of digital image processing,and it usually processes image by separating the row and column,which can’t meet the human visual system(HVS)completely.To address this situation,a kind of true 2-D 5/3 wavelet transform was constructed,which was more consistent with HVS.Firstly,1-D 5/3 wavelet filter bank constructed the true 2-D Lazy wavelet filter bank by McClellan transform,and it was implemented by lifting scheme.Then,this lifting scheme was nested with the true 2-D Lazy wavelet filter bank to implement true 5/3 wavelet transform of image.To facilitate engineering applications,the transformation procedure was given.The experiments of true 5/3 wavelet transform used in CT image lossless compression,the experiment shows that,for 512×512 size CT image true 5/3 wavelet transform has better compression effect when compared with two dimensional separable 5/3 wavelet transform and can save 1 989.9 byte per piece on average.
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institution Kabale University
issn 1000-0801
language zho
publishDate 2016-06-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-bda747c5b5b243048e8c04f8b46c9f322025-01-15T03:14:40ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012016-06-0132738259608179True 2-D 5/3 wavelet transform and its application for CT image lossless compressionNini XUMingming ZHANGJianming WANGWavelet transform is widely used in the field of digital image processing,and it usually processes image by separating the row and column,which can’t meet the human visual system(HVS)completely.To address this situation,a kind of true 2-D 5/3 wavelet transform was constructed,which was more consistent with HVS.Firstly,1-D 5/3 wavelet filter bank constructed the true 2-D Lazy wavelet filter bank by McClellan transform,and it was implemented by lifting scheme.Then,this lifting scheme was nested with the true 2-D Lazy wavelet filter bank to implement true 5/3 wavelet transform of image.To facilitate engineering applications,the transformation procedure was given.The experiments of true 5/3 wavelet transform used in CT image lossless compression,the experiment shows that,for 512×512 size CT image true 5/3 wavelet transform has better compression effect when compared with two dimensional separable 5/3 wavelet transform and can save 1 989.9 byte per piece on average.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016122/HVSMcClellan transformlifting schemelossless compression
spellingShingle Nini XU
Mingming ZHANG
Jianming WANG
True 2-D 5/3 wavelet transform and its application for CT image lossless compression
Dianxin kexue
HVS
McClellan transform
lifting scheme
lossless compression
title True 2-D 5/3 wavelet transform and its application for CT image lossless compression
title_full True 2-D 5/3 wavelet transform and its application for CT image lossless compression
title_fullStr True 2-D 5/3 wavelet transform and its application for CT image lossless compression
title_full_unstemmed True 2-D 5/3 wavelet transform and its application for CT image lossless compression
title_short True 2-D 5/3 wavelet transform and its application for CT image lossless compression
title_sort true 2 d 5 3 wavelet transform and its application for ct image lossless compression
topic HVS
McClellan transform
lifting scheme
lossless compression
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016122/
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AT mingmingzhang true2d53wavelettransformanditsapplicationforctimagelosslesscompression
AT jianmingwang true2d53wavelettransformanditsapplicationforctimagelosslesscompression