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| GI'98 Online Papers |
Wavelet-Based 3D Compression Scheme for Very Large Volume Data
Abstract
Visualizing very large volume data has been recognized as a task requiring
great effort in a variety of science and engineering fields.
In particular, such data usually places considerable demands
on run-time memory space.
This paper describes an effective 3D compression scheme for very large
volume data that exploits the power of wavelet theory.
In designing our compression method, we have compromised between
two important factors: high compression ratio and fast run-time random
access.
Our experimental results on the Visual Human data sets show that
our method achieves fairly good compression ratios.
In addition, it minimizes the overhead caused during run-time
reconstruction of voxel values.
This 3D compression scheme will be useful in developing
many interactive visualization systems for huge volume data, and
will make visualization technology accessible
to a much wider range of users, as it can be based on personal
computers or low-end workstations with limited memory.
The Paper
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