Skip to main content

Fast resampling using vector quantization

  • Session CG1a — Scientific Visualization
  • Conference paper
  • First Online:
Image Analysis Applications and Computer Graphics (ICSC 1995)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1024))

Included in the following conference series:

  • 200 Accesses

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. J. L. Bentley and J. H. Friedman. Data structures for range searching. ACM Computing Surveys, 11(4):397–409, December 1979.

    Google Scholar 

  2. P. Cosman, K. Oehler, E. Riskin, and R. Gray. Combined vector quantization and adaptive histogram equalization. In SPIE Proc. Medical Imaging VI, 1992.

    Google Scholar 

  3. P. Cosman, K. Oehler, E. Riskin, and R. Gray. Combining vector quantization and histogram equalization. Information Processing Management, 28(6):681–686, 1992.

    Google Scholar 

  4. W. Equitz. A new vector quantization clustering algorithm. IEEE Trans. on Acoustics, Speech and Signal Processing, 37(10):1568–1575, 1989.

    Google Scholar 

  5. Y. Linde, A. Buzo, and R. Gray. An algorithm for vector quantizer design. IEEE Trans. on Communications, 28:84–95, 1980.

    Google Scholar 

  6. P. Ning. Applications of data compression to 3-d scalar field visualization. Technical report, Stanford University, 1993. PhD Dissertation.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Roland T. Chin Horace H. S. Ip Avi C. Naiman Ting-Chuen Pong

Rights and permissions

Reprints and permissions

Copyright information

© 1995 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Teo, P.C., Garfinkle, C.D. (1995). Fast resampling using vector quantization. In: Chin, R.T., Ip, H.H.S., Naiman, A.C., Pong, TC. (eds) Image Analysis Applications and Computer Graphics. ICSC 1995. Lecture Notes in Computer Science, vol 1024. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60697-1_88

Download citation

  • DOI: https://doi.org/10.1007/3-540-60697-1_88

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60697-0

  • Online ISBN: 978-3-540-49298-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics