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IStar: a raster representation for scalable image and volume data.

Joe Kniss1, Warren Hunt, Kristin Potter

  • 1Advanced Graphics Lab, University of New Mexico, USA. jmk@cs.umm.edu

IEEE Transactions on Visualization and Computer Graphics
|October 31, 2007
PubMed
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We introduce IStar, a novel raster-based representation for multivariate data. It preserves sharp discontinuities and enables real-time rendering by embedding topological information into compressed images.

Area of Science:

  • Computer Graphics
  • Data Visualization
  • Scientific Computing

Background:

  • Topology is crucial for analyzing scalar and flow fields in data visualization.
  • Existing methods struggle with preserving discontinuities in multivariate data.

Purpose of the Study:

  • To develop an efficient, raster-based representation for multivariate image and volume data with discontinuities.
  • To enable real-time rendering of complex data while preserving sharp features.

Main Methods:

  • Analyzing data topology to create a dual graph structure of segmentable regions.
  • Embedding graph and sampled data into a compressed raster image format (IStar).
  • Reconstructing the original function using the dual graph during rendering.

Related Experiment Videos

Main Results:

  • IStar representation preserves sharp discontinuities at any magnification level.
  • Achieved substantial downsampling and compression of data.
  • Demonstrated real-time reconstruction and rendering on graphics hardware.

Conclusions:

  • IStar offers a scalable, raster-based solution for visualizing multivariate data with discontinuities.
  • The approach combines the benefits of vector graphics (sharp features) with raster graphics (real-time performance).
  • Enables efficient, high-fidelity visualization in real-time rendering pipelines.