30 May 2000 Lossless compression of 3D medical images using reversible integer wavelet transforms
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Proceedings Volume 4067, Visual Communications and Image Processing 2000; (2000) https://doi.org/10.1117/12.386584
Event: Visual Communications and Image Processing 2000, 2000, Perth, Australia
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.
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HyoJoon Kim, HyoJoon Kim, JongHyo Kim, JongHyo Kim, ChoongWoong Lee, ChoongWoong Lee, } "Lossless compression of 3D medical images using reversible integer wavelet transforms", Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); doi: 10.1117/12.386584; https://doi.org/10.1117/12.386584
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