Multilevel Wavelet Feature Statistics for Efficient Retrieval, Transmission, and Display of Medical Images by Hybrid Encoding

<p/> <p>Many common modalities of medical images acquire high-resolution and multispectral images, which are subsequently processed, visualized, and transmitted by subsampling. These subsampled images compromise resolution for processing ability, thus risking loss of significant diagnost...

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Main Authors: Lee DJ, Yang Shuyu, Mitra Sunanda, Corona Enrique, Nutter Brian
Format: Article
Language:English
Published: SpringerOpen 2003-01-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Online Access:http://dx.doi.org/10.1155/S1110865703211203
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spelling doaj-ed09e1ec7d3c47a0ba8a4cc1fad4b5b82020-11-24T20:48:15ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802003-01-0120035619364Multilevel Wavelet Feature Statistics for Efficient Retrieval, Transmission, and Display of Medical Images by Hybrid EncodingLee DJYang ShuyuMitra SunandaCorona EnriqueNutter Brian<p/> <p>Many common modalities of medical images acquire high-resolution and multispectral images, which are subsequently processed, visualized, and transmitted by subsampling. These subsampled images compromise resolution for processing ability, thus risking loss of significant diagnostic information. A hybrid multiresolution vector quantizer (HMVQ) has been developed exploiting the statistical characteristics of the features in a multiresolution wavelet-transformed domain. The global codebook generated by HMVQ, using a combination of multiresolution vector quantization and residual scalar encoding, retains edge information better and avoids significant blurring observed in reconstructed medical images by other well-known encoding schemes at low bit rates. Two specific image modalities, namely, X-ray radiographic and magnetic resonance imaging (MRI), have been considered as examples. The ability of HMVQ in reconstructing high-fidelity images at low bit rates makes it particularly desirable for medical image encoding and fast transmission of 3D medical images generated from multiview stereo pairs for visual communications.</p>http://dx.doi.org/10.1155/S1110865703211203high fidelity hybrid encodingglobal codebooklow bit ratemultilevel wavelet feature statisticsefficient retrieval of high-resolution medical images
collection DOAJ
language English
format Article
sources DOAJ
author Lee DJ
Yang Shuyu
Mitra Sunanda
Corona Enrique
Nutter Brian
spellingShingle Lee DJ
Yang Shuyu
Mitra Sunanda
Corona Enrique
Nutter Brian
Multilevel Wavelet Feature Statistics for Efficient Retrieval, Transmission, and Display of Medical Images by Hybrid Encoding
EURASIP Journal on Advances in Signal Processing
high fidelity hybrid encoding
global codebook
low bit rate
multilevel wavelet feature statistics
efficient retrieval of high-resolution medical images
author_facet Lee DJ
Yang Shuyu
Mitra Sunanda
Corona Enrique
Nutter Brian
author_sort Lee DJ
title Multilevel Wavelet Feature Statistics for Efficient Retrieval, Transmission, and Display of Medical Images by Hybrid Encoding
title_short Multilevel Wavelet Feature Statistics for Efficient Retrieval, Transmission, and Display of Medical Images by Hybrid Encoding
title_full Multilevel Wavelet Feature Statistics for Efficient Retrieval, Transmission, and Display of Medical Images by Hybrid Encoding
title_fullStr Multilevel Wavelet Feature Statistics for Efficient Retrieval, Transmission, and Display of Medical Images by Hybrid Encoding
title_full_unstemmed Multilevel Wavelet Feature Statistics for Efficient Retrieval, Transmission, and Display of Medical Images by Hybrid Encoding
title_sort multilevel wavelet feature statistics for efficient retrieval, transmission, and display of medical images by hybrid encoding
publisher SpringerOpen
series EURASIP Journal on Advances in Signal Processing
issn 1687-6172
1687-6180
publishDate 2003-01-01
description <p/> <p>Many common modalities of medical images acquire high-resolution and multispectral images, which are subsequently processed, visualized, and transmitted by subsampling. These subsampled images compromise resolution for processing ability, thus risking loss of significant diagnostic information. A hybrid multiresolution vector quantizer (HMVQ) has been developed exploiting the statistical characteristics of the features in a multiresolution wavelet-transformed domain. The global codebook generated by HMVQ, using a combination of multiresolution vector quantization and residual scalar encoding, retains edge information better and avoids significant blurring observed in reconstructed medical images by other well-known encoding schemes at low bit rates. Two specific image modalities, namely, X-ray radiographic and magnetic resonance imaging (MRI), have been considered as examples. The ability of HMVQ in reconstructing high-fidelity images at low bit rates makes it particularly desirable for medical image encoding and fast transmission of 3D medical images generated from multiview stereo pairs for visual communications.</p>
topic high fidelity hybrid encoding
global codebook
low bit rate
multilevel wavelet feature statistics
efficient retrieval of high-resolution medical images
url http://dx.doi.org/10.1155/S1110865703211203
work_keys_str_mv AT leedj multilevelwaveletfeaturestatisticsforefficientretrievaltransmissionanddisplayofmedicalimagesbyhybridencoding
AT yangshuyu multilevelwaveletfeaturestatisticsforefficientretrievaltransmissionanddisplayofmedicalimagesbyhybridencoding
AT mitrasunanda multilevelwaveletfeaturestatisticsforefficientretrievaltransmissionanddisplayofmedicalimagesbyhybridencoding
AT coronaenrique multilevelwaveletfeaturestatisticsforefficientretrievaltransmissionanddisplayofmedicalimagesbyhybridencoding
AT nutterbrian multilevelwaveletfeaturestatisticsforefficientretrievaltransmissionanddisplayofmedicalimagesbyhybridencoding
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