The Community for Technology Leaders
Green Image
Issue No. 06 - November/December (2009 vol. 15)
ISSN: 1077-2626
pp: 1283-1290
Wai-Ho Mak , Department of Computer Science and Engineering, The Hong Kong University of Science and Technology
Wei Chen , State Key Lab of CAD&CG, Zhejiang University
Huamin Qu , Department of Computer Science and Engineering, The Hong Kong University of Science and Technology
Ming-Yuen Chan , Department of Computer Science and Engineering, The Hong Kong University of Science and Technology
Yingcai Wu , Department of Computer Science and Engineering, The Hong Kong University of Science and Technology
ABSTRACT
The semi-transparent nature of direct volume rendered images is useful to depict layered structures in a volume. However, obtaining a semi-transparent result with the layers clearly revealed is difficult and may involve tedious adjustment on opacity and other rendering parameters. Furthermore, the visual quality of layers also depends on various perceptual factors. In this paper, we propose an auto-correction method for enhancing the perceived quality of the semi-transparent layers in direct volume rendered images. We introduce a suite of new measures based on psychological principles to evaluate the perceptual quality of transparent structures in the rendered images. By optimizing rendering parameters within an adaptive and intuitive user interaction process, the quality of the images is enhanced such that specific user requirements can be met. Experimental results on various datasets demonstrate the effectiveness and robustness of our method
INDEX TERMS
Direct volume rendering, image enhancement, layer perception.
CITATION
Wai-Ho Mak, Wei Chen, Huamin Qu, Ming-Yuen Chan, Yingcai Wu, "Perception-Based Transparency Optimization for Direct Volume Rendering", IEEE Transactions on Visualization & Computer Graphics, vol. 15, no. , pp. 1283-1290, November/December 2009, doi:10.1109/TVCG.2009.172
93 ms
(Ver )