Lossy-to-lossless compression of medical volumetric data using three-dimensional integer wavelet transforms
Zixiang Xiong
Xiaolin Wu
Cheng, S.
Jianping Hua
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA;
This paper appears in: Medical Imaging, IEEE Transactions on
Publication Date: March 2003
Volume: 22,
Issue: 3
On page(s): 459-470
Location: Davis, CA, USA,
ISSN: 0278-0062
INSPEC Accession Number: 7646085
Digital Object Identifier: 10.1109/TMI.2003.809585
Current Version Published: 2003-05-21
Abstract
We study lossy-to-lossless compression of medical volumetric data using three-dimensional (3-D) integer wavelet transforms. To achieve good lossy coding performance, it is important to have transforms that are unitary. In addition to the lifting approach, we first introduce a general 3-D integer wavelet packet transform structure that allows implicit bit shifting of wavelet coefficients to approximate a 3-D unitary transformation. We then focus on context modeling for efficient arithmetic coding of wavelet coefficients. Two state-of-the-art 3-D wavelet video coding techniques, namely, 3-D set partitioning in hierarchical trees (Kim et al., 2000) and 3-D embedded subband coding with optimal truncation (Xu et al., 2001), are modified and applied to compression of medical volumetric data, achieving the best performance published so far in the literature-both in terms of lossy and lossless compression.
Index
Terms
Available to subscribers and IEEE members.
References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
Cart
