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Fast resampling using vector quantization

  • Patrick C. Teo
  • Chase D. Garfinkle
Session CG1a — Scientific Visualization
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1024)

Abstract

We present a fast resampling scheme using vector quantization. Our method differs from prior work applying vector quantization to speeding up image and volume processing in two essential aspects. First, our method uses blocks with overlapping rather than disjoint extents. Second, we present a means of trading off smaller block sizes for additional computation. These two innovations allow vector quantization to be used in performing a broader class of operations. We demonstrate the performance of our method in warping both images and volumes, and have also implemented a ray-traced volume renderer utilizing this technique. Experiments demonstrate a speed up of 2–3 times over conventional resampling with minimal errors.

Keywords

Mean Square Error Codebook Size Large Block Size Small Block Size Trilinear Interpolation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Patrick C. Teo
    • 1
  • Chase D. Garfinkle
    • 2
  1. 1.Department of Computer ScienceStanford UniversityStanford
  2. 2.Silicon Graphics Computer SystemsMountain View

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