A Wavelet Based 3D Image Compression System

D. Montgomery; F. Murtagh; A. Amira

doi:10.1109/ISSPA.2003.1224641

A Wavelet Based 3D Image Compression System

D. Montgomery, F. Murtagh, A. Amira

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

This paper describes different approaches suitable for the implementation of the 3D Haar wavelet transform (HWT). These transforms are important in 3D image compression and video processing applications. The algorithms for the standard (SHWT), nonstandard (NSHWT), tensor product (TPHWT) and transpose based decompositions (TSHWT and TNSHWT) are described together with their implementation in MATLAB®. The influence of both the hard and soft threshold applied to these decompositions is also examined. Extensive experiments have been carried out on 3D medical images and these have shown that the nonstandard approach exhibits the best performance in terms of computation time, the number of zero coefficients achieved and the quality of the reconstructed image.

Original language	English
Title of host publication	Proceedings - 7th International Symposium on Signal Processing and Its Applications (ISSPA 2003)
Editors	SuviSoft Oy Ltd
Publisher	IEEE
Pages	65-68
Number of pages	4
Volume	2
ISBN (Print)	0780379462, 9780780379466
DOIs	https://doi.org/10.1109/ISSPA.2003.1224641
Publication status	Published - 26 Aug 2003
Externally published	Yes
Event	7th International Symposium on Signal Processing and Its Applications - Paris, France Duration: 1 Jul 2003 → 4 Jul 2003 Conference number: 7 https://ieeexplore.ieee.org/document/1224625

Conference

Conference	7th International Symposium on Signal Processing and Its Applications
Abbreviated title	ISSPA 2003
Country/Territory	France
City	Paris
Period	1/07/03 → 4/07/03
Internet address	https://ieeexplore.ieee.org/document/1224625

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10.1109/ISSPA.2003.1224641Licence: Unspecified

Cite this

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title = "A Wavelet Based 3D Image Compression System",

abstract = "This paper describes different approaches suitable for the implementation of the 3D Haar wavelet transform (HWT). These transforms are important in 3D image compression and video processing applications. The algorithms for the standard (SHWT), nonstandard (NSHWT), tensor product (TPHWT) and transpose based decompositions (TSHWT and TNSHWT) are described together with their implementation in MATLAB{\textregistered}. The influence of both the hard and soft threshold applied to these decompositions is also examined. Extensive experiments have been carried out on 3D medical images and these have shown that the nonstandard approach exhibits the best performance in terms of computation time, the number of zero coefficients achieved and the quality of the reconstructed image.",

keywords = "Image coding, Biomedical imaging, Medical diagnostic imaging, Low pass filters, Wavelet transforms, Image storage, Tensile stress, Computer science, Video compression, Application software",

author = "D. Montgomery and F. Murtagh and A. Amira",

year = "2003",

month = aug,

day = "26",

doi = "10.1109/ISSPA.2003.1224641",

language = "English",

isbn = "0780379462",

volume = "2",

pages = "65--68",

editor = "{SuviSoft Oy Ltd}",

booktitle = "Proceedings - 7th International Symposium on Signal Processing and Its Applications (ISSPA 2003)",

publisher = "IEEE",

address = "United States",

note = "7th International Symposium on Signal Processing and Its Applications, ISSPA 2003 ; Conference date: 01-07-2003 Through 04-07-2003",

url = "https://ieeexplore.ieee.org/document/1224625",

}

Montgomery, D, Murtagh, F & Amira, A 2003, A Wavelet Based 3D Image Compression System. in SOL (ed.), Proceedings - 7th International Symposium on Signal Processing and Its Applications (ISSPA 2003). vol. 2, 1224641, IEEE, pp. 65-68, 7th International Symposium on Signal Processing and Its Applications, Paris, France, 1/07/03. https://doi.org/10.1109/ISSPA.2003.1224641

TY - GEN

T1 - A Wavelet Based 3D Image Compression System

AU - Montgomery, D.

AU - Murtagh, F.

AU - Amira, A.

N1 - Conference code: 7

PY - 2003/8/26

Y1 - 2003/8/26

N2 - This paper describes different approaches suitable for the implementation of the 3D Haar wavelet transform (HWT). These transforms are important in 3D image compression and video processing applications. The algorithms for the standard (SHWT), nonstandard (NSHWT), tensor product (TPHWT) and transpose based decompositions (TSHWT and TNSHWT) are described together with their implementation in MATLAB®. The influence of both the hard and soft threshold applied to these decompositions is also examined. Extensive experiments have been carried out on 3D medical images and these have shown that the nonstandard approach exhibits the best performance in terms of computation time, the number of zero coefficients achieved and the quality of the reconstructed image.

AB - This paper describes different approaches suitable for the implementation of the 3D Haar wavelet transform (HWT). These transforms are important in 3D image compression and video processing applications. The algorithms for the standard (SHWT), nonstandard (NSHWT), tensor product (TPHWT) and transpose based decompositions (TSHWT and TNSHWT) are described together with their implementation in MATLAB®. The influence of both the hard and soft threshold applied to these decompositions is also examined. Extensive experiments have been carried out on 3D medical images and these have shown that the nonstandard approach exhibits the best performance in terms of computation time, the number of zero coefficients achieved and the quality of the reconstructed image.

KW - Image coding

KW - Biomedical imaging

KW - Medical diagnostic imaging

KW - Low pass filters

KW - Wavelet transforms

KW - Image storage

KW - Tensile stress

KW - Computer science

KW - Video compression

KW - Application software

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U2 - 10.1109/ISSPA.2003.1224641

DO - 10.1109/ISSPA.2003.1224641

M3 - Conference contribution

AN - SCOPUS:47649116694

SN - 0780379462

SN - 9780780379466

VL - 2

SP - 65

EP - 68

BT - Proceedings - 7th International Symposium on Signal Processing and Its Applications (ISSPA 2003)

A2 - , SuviSoft Oy Ltd

PB - IEEE

T2 - 7th International Symposium on Signal Processing and Its Applications

Y2 - 1 July 2003 through 4 July 2003

ER -

A Wavelet Based 3D Image Compression System

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