HDR volvis: High dynamic range volume visualization

Xiaoru Yuan, Minh X. Nguyen, Baoquan Chen, David H. Porter

Research output: Contribution to journalArticle

23 Scopus citations

Abstract

In this paper, we present an interactive high dynamic range volume visualization framework (HDR VolVis) for visualizing volumetric data with both high spatial and intensity resolutions. Volumes with high dynamic range values require high precision computing during the rendering process to preserve data precision. Furthermore, it is desirable to render high resolution volumes with low opacity values to reveal detailed internal structures, which also requires high precision compositing. High precision rendering will result in a high precision intermediate image (also known as high dynamic range image). Simply rounding up pixel values to regular display scales will result in loss of computed details. Our method performs high precision compositing followed by dynamic tone mapping to preserve details on regular display devices. Rendering high precision volume data requires corresponding resolution in the transfer function. To assist the users in designing a high resolution transfer function on a limited resolution display device, we propose a novel transfer function specification interface with nonlinear magnification of the density range and logarithmic scaling of the color/opacity range. By leveraging modern commodity graphics hardware, multiresolution rendering techniques and out-of-core acceleration, our system can effectively produce an interactive visualization of large volume data, such as 2,048 3.

Original languageEnglish (US)
Pages (from-to)433-445
Number of pages13
JournalIEEE Transactions on Visualization and Computer Graphics
Volume12
Issue number4
DOIs
StatePublished - Jul 1 2006

Keywords

  • High dynamic range
  • Nonlinear magnification
  • Transfer function design
  • User interfaces
  • Volume visualization

Fingerprint Dive into the research topics of 'HDR volvis: High dynamic range volume visualization'. Together they form a unique fingerprint.

  • Cite this