Skip to search boxSkip to navigationSkip to main content

Wavefront raycasting using larger filter kernels for on-the-fly GPU gradient reconstruction

  • Baoquan Liu
    ,
  • Gordon Clapworthy
    ,
  • Feng Dong
Research Output:
Contribution to journal
Article
 Peer-review

Abstract

The quality of images generated by volume rendering strongly depends on the accuracy of gradient estimation. However, the most commonly used techniques for on-the-fly gradient reconstruction are still very simple, such as central differences; they generally gather only limited neighbourhood information and thus ultimately produce rather poor quality images. While there are many higher-order reconstruction methods, such as 3×3×3 or 5×5×5 filters, which can improve the quality, their excessive sampling costs have meant that they are generally used only for pre-computed gradients, which are then quantized and stored for later runtime re-interpolation. This may introduce further errors and, significantly, may consume valuable texture memory.

Publication Information

Output type

Research Output:
Contribution to journal
Article
 Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 1079-1089

Journal (Volume, Issue Number)

Visual Computer (Volume 6, Issue 8)

Publication milestones

  • Published - 01/01/2010

Publication status

Published - 01/01/2010

ISSN

0178-2789

Publication IDs

  • handle.net: 10547/224154
  • Scopus: 84891659942

Access to documents

Publication metrics