Paper Info
Title
Lossless compression of volumetric medical images with improved three-dimensional SPIHT algorithm.
Abstract
This article presents a lossless compression of volumetric medical images with the improved three-dimensional (3-D) set partitioning in hierarchical tree (SPIHT) algorithm that searches on asymmetric trees. The tree structure links wavelet coefficients produced by 3-D reversible integer wavelet transforms. Experiments show that the lossless compression with the improved 3-D SPIHT gives improvement about 42% on average over two-dimensional techniques and is superior to those of prior results of 3-D techniques. In addition, we can easily apply different numbers of decomposition between the transaxial and axial dimensions, which is a desirable function when the coding unit of a group of slices is limited in size.
Year
DOI
Venue
2004
10.1007/s10278-003-1736-x
J. Digital Imaging
Keywords
Field
DocType
Asymmetric tree structure, SPIHT, 3-D wavelet transform, lossless compression
Integer,Computer vision,Set partitioning in hierarchical trees,Lossy compression,Computer science,Artificial intelligence,Tree structure,Data compression,Wavelet transform,Lossless compression,Wavelet
Journal
Volume
Issue
ISSN
17
1
1618-727X
Citations 
PageRank 
References 
14
1.14
6
Authors
3
Name
Order
Citations
PageRank
Sungdae Cho117715.35
Dongyoun Kim2141.48
William A. Pearlman345563.45