A Wavelet Based 3D Image Compression System

D. Montgomery, F. Murtagh, A. Amira

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 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 languageEnglish
Title of host publicationProceedings - 7th International Symposium on Signal Processing and Its Applications (ISSPA 2003)
EditorsSuviSoft Oy Ltd
PublisherIEEE
Pages65-68
Number of pages4
Volume2
ISBN (Print)0780379462, 9780780379466
DOIs
Publication statusPublished - 26 Aug 2003
Externally publishedYes
Event7th International Symposium on Signal Processing and Its Applications - Paris, France
Duration: 1 Jul 20034 Jul 2003
Conference number: 7
https://ieeexplore.ieee.org/document/1224625

Conference

Conference7th International Symposium on Signal Processing and Its Applications
Abbreviated titleISSPA 2003
CountryFrance
CityParis
Period1/07/034/07/03
Internet address

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  • Cite this

    Montgomery, D., Murtagh, F., & Amira, A. (2003). A Wavelet Based 3D Image Compression System. In S. O. L. (Ed.), Proceedings - 7th International Symposium on Signal Processing and Its Applications (ISSPA 2003) (Vol. 2, pp. 65-68). [1224641] IEEE. https://doi.org/10.1109/ISSPA.2003.1224641