DocumentCode :
964528
Title :
IStar: A Raster Representation for Scalable Image and Volume Data
Author :
Kniss, J. ; Hunt, William ; Potter, K. ; Sen, P.
Author_Institution :
Univ. of New Mexico, Albuquerque
Volume :
13
Issue :
6
fYear :
2007
Firstpage :
1424
Lastpage :
1431
Abstract :
Topology has been an important tool for analyzing scalar data and flow fields in visualization. In this work, we analyze the topology of multivariate image and volume data sets with discontinuities in order to create an efficient, raster-based representation we call IStar. Specifically, the topology information is used to create a dual structure that contains nodes and connectivity information for every segmentable region in the original data set. This graph structure, along with a sampled representation of the segmented data set, is embedded into a standard raster image which can then be substantially downsampled and compressed. During rendering, the raster image is upsampled and the dual graph is used to reconstruct the original function. Unlike traditional raster approaches, our representation can preserve sharp discontinuities at any level of magnification, much like scalable vector graphics. However, because our representation is raster-based, it is well suited to the real-time rendering pipeline. We demonstrate this by reconstructing our data sets on graphics hardware at real-time rates.
Keywords :
image representation; image segmentation; rendering (computer graphics); topology; IStar; dual graph; graph structure; graphics hardware; multivariate image; raster representation; real-time rates; real-time rendering; scalable image representation; segmented data set; topology information; volume data; Data analysis; Data visualization; Graphics; Image analysis; Image coding; Image reconstruction; Image segmentation; Pipelines; Rendering (computer graphics); Topology; Compression; Image Representation; Multi-field Visualization; Topology;
fLanguage :
English
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
Publisher :
ieee
ISSN :
1077-2626
Type :
jour
DOI :
10.1109/TVCG.2007.70572
Filename :
4376170
Link To Document :
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