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Proceedings Paper

Lossless compression of 3D medical images using reversible integer wavelet transforms
Author(s): HyoJoon Kim; JongHyo Kim; ChoongWoong Lee
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Paper Abstract

This paper presents a lossless compression method for 3D medical images such as CT, MRI by using reversible integer wavelet transforms. This method is named 3D block-based zerotree with block partitioning (BZBP) and is based on zerotree coding in a 3D hierarchical tree and octonary block partitioning. Block-based zerotree codes zero regions and finds significant blocks in which there are significant coefficients. Significant blocks are zoomed in by block partitioning to detect significant coefficients in the block. The results show that the lossless compression ratio of 3D BZBP is higher than that of 3D SPIHT and 3D BZBP outperforms 3D SPIHT for reconstructed image quality at low bit-rate and in case of low wavelet decomposition level.

Paper Details

Date Published: 30 May 2000
PDF: 9 pages
Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); doi: 10.1117/12.386584
Show Author Affiliations
HyoJoon Kim, Seoul National Univ. (South Korea)
JongHyo Kim, Seoul National Univ. (United States)
ChoongWoong Lee, Seoul National Univ. (South Korea)


Published in SPIE Proceedings Vol. 4067:
Visual Communications and Image Processing 2000
King N. Ngan; Thomas Sikora; Ming-Ting Sun, Editor(s)

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