A bandwidth reduction scheme for 3D texture-based volume rendering on commodity graphics hardware

Won Jong Lee, Woo Chan Park, Jung Woo Kim, Tack Don Han, Sung Bong Yang, Francis Neelamkavil

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In this paper, we propose a bandwidth-effective volume rendering scheme which subdivides the volume into the sub-volumes and transmits them to the texture units in visibility order. Each sub-volume is rendered in the same manner as the original volume on the graphics hardware and the corresponding sub-image is blended in the alpha blending unit. The sub-volume oriented processing improves the cache efficiency and allows empty space skipping. Moreover, it is capable of rendering volume datasets that do not fit into the texture memory. Simulations show that the proposed scheme is effective for 3D texture-based volume rendering on commodity graphics hardware by reducing memory bandwidth up to 30 times when compared with the traditional method.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsAntonio Lagana, Marina L. Gavrilova, Vipin Kumar, Youngsong Mun, C.J. Kenneth Tan, Osvaldo Gervasi
PublisherSpringer Verlag
Pages741-750
Number of pages10
ISBN (Print)3540220569, 9783540220565
DOIs
Publication statusPublished - 2004 Jan 1

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3044
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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    Lee, W. J., Park, W. C., Kim, J. W., Han, T. D., Yang, S. B., & Neelamkavil, F. (2004). A bandwidth reduction scheme for 3D texture-based volume rendering on commodity graphics hardware. In A. Lagana, M. L. Gavrilova, V. Kumar, Y. Mun, C. J. Kenneth Tan, & O. Gervasi (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 741-750). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3044). Springer Verlag. https://doi.org/10.1007/978-3-540-24709-8_78