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Wavelet Based 3D Compression for Very Large Volume Data Supporting
Fast Random Access
Flemming Friche Rodler October 1999 |
Abstract:
We propose a wavelet based method for compressing volumetric
data with little loss in quality. The method supports fast random access to
individual voxels within the compressed volume. Such a method is important
since storing and visualising very large volumes impose heavy demands on
internal memory and external storage facilities making it accessible only to
users with huge and expensive computers. This problem is not likely to become
less in the future. Experimental results on the CT dataset of the Visible
Human have shown that our method provides very high compression rates with
fairly fast random access
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