This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Perception-Based Transparency Optimization for Direct Volume Rendering
November/December 2009 (vol. 15 no. 6)
pp. 1283-1290
ASCII Text
x 
 
Ming-Yuen Chan, Yingcai Wu, Wai-Ho Mak, Wei Chen, Huamin Qu, "Perception-Based Transparency Optimization for Direct Volume Rendering," IEEE Transactions on Visualization and Computer Graphics, vol. 15, no. 6, pp. 1283-1290, November/December, 2009.
 
 
BibTex
x
 
@article{ 10.1109/TVCG.2009.172,
author = {Ming-Yuen Chan and Yingcai Wu and Wai-Ho Mak and Wei Chen and Huamin Qu},
title = {Perception-Based Transparency Optimization for Direct Volume Rendering},
journal ={IEEE Transactions on Visualization and Computer Graphics},
volume = {15},
number = {6},
issn = {1077-2626},
year = {2009},
pages = {1283-1290},
doi = {http://doi.ieeecomputersociety.org/10.1109/TVCG.2009.172},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Visualization and Computer Graphics
TI - Perception-Based Transparency Optimization for Direct Volume Rendering
IS - 6
SN - 1077-2626
SP1283
EP1290
EPD - 1283-1290
A1 - Ming-Yuen Chan,
A1 - Yingcai Wu,
A1 - Wai-Ho Mak,
A1 - Wei Chen,
A1 - Huamin Qu,
PY - 2009
KW - Direct volume rendering
KW - image enhancement
KW - layer perception.
VL - 15
JA - IEEE Transactions on Visualization and Computer Graphics
ER -
 
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
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
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

[1] A. Bair, D. H. House, and C. Ware, Texturing of layered surfaces for optimal viewing. IEEE Transactions on Visualization and Computer Graphics, 12 (5): 1125–1132, 2006.
[2] M.-Y. Chan, H. Qu, K.-K. Chung, W.-H. Mak, and Y. Wu, Relation-aware volume exploration pipeline. IEEE Transactions on Visualization and Computer Graphics, 14 (6): 1683–1690, 2008.
[3] C. Correa and K.-L. Ma, Size-based transfer functions: A new volume exploration technique. IEEE Transactions on Visualization and Computer Graphics, 14 (6): 1380–1387, 2008.
[4] C. Correa and K.-L. Ma, Visibility-driven transfer functions. InM IEEE Pacific Visualization Symposium, pages 177–184, 2009.
[5] J. W. Durkin and G. Kindlmann, Semi-automatic generation of transfer functions for direct volume rendering. InM IEEE Symposium on Volume Visualization and Graphics, pages 79–86, 1998.
[6] S. Fang, T. Biddlecome, and M. Tuceryan, Image-based transfer function design for data exploration in volume visualization. InM IEEE Visualization, pages 319–326, 1998.
[7] R. W. Fleming and H. H. Bölthoff, Low-level image cues in the perception of translucent materials. ACM Transactions on Applied Perception, 2 (3): 346–382, 2005.
[8] R. W. Fleming, A. Torralba, and E. H. Adelson, Specular reflections and the perception of shape. Journal of Vision, 4 (9): 798–820, 2004.
[9] W. Gerbino, C. Stultiens, J. Troost, and C. de Weert, Transparent layer constancy. Journal of Experimental Psychology: Human Perception and Performance, 16: 3–20, 1990.
[10] A. Gooch, B. Gooch, P. S. Shirley, and E. Cohen, A non-photorealistic lighting model for automatic technical illustration. InM SIGGRAPH, pages 447–452, 1998.
[11] M. Hatzitheodorou, The derivation of 3-d surface shape from shadows. InM Proc. Image Understanding Workshop, pages 1012–1020, 1989.
[12] V. Interrante, H. Fuchs, and S. M. Pizer, Conveying the 3d shape of smoothly curving transparent surfaces via texture. IEEE Transactions on Visualization and Computer Graphics, 3 (2): 98–117, 1997.
[13] G. L. Kindlmann, R. T. Whitaker, T. Tasdizen, and T. Möller, Curvature-based transfer functions for direct volume rendering: Methods and applications. InM IEEE Visualization, pages 513–520, 2003.
[14] J. Kniss, G. Kindlmann, and C. Hansen, Multidimensional transfer functions for interactive volume rendering. IEEE Transactions on Visualization and Computer Graphics, 8 (3): 270–285, 2002.
[15] C. H. Lee, X. Hao, and A. Varshney, Light collages: Lighting design for effective visualization. InM IEEE Visualization, pages 281–288, 2004.
[16] E. Lum, A. Stompel, and K.-L. Ma, Kinetic visualization. IEEE Transactions on Visualization and Graphics, 9 (2): 115–126, June 2003.
[17] K. Madsen, H. B. Nielsen, and O. Tingleff, Methods for non-linear least squares problems, 2004.
[18] F. Metelli, O. D. Pos, and A. Cavedon, Balanced and unbalanced, complete and partial transparency. Perception and Psychophysics, 38 (4): 354– 366, 1985.
[19] S. Owada, F. Nielsen, and T. Igarashi, Volume catcher. InM Symposium on Interactive 3D Graphics, pages 111–116, 2005.
[20] H. Pfister, B. Lorensen, C. Bajaj, G. Kindlmann, W. Schroeder, L. S. Avila, K. Martin, R. Machiraju, and J. Lee, The transfer function bake-off. IEEE Computer Graphics and Applications, 21 (3): 16–22, 2001.
[21] P. Rautek, S. Bruckner, and E. Gröller, Semantic layers for illustrative volume rendering. IEEE Transactions on Visualization and Computer Graphics, 13 (6): 1336–1343, 2007.
[22] C. Rezk-Salama and A. Kolb, Opacity peeling for direct volume rendering. Comput. Graph. Forum, 25 (3): 597–606, 2006.
[23] P. Rheingans and D. Ebert, Volume illustration: nonphotorealistic rendering of volume models. IEEE Transactions on Visualization and Computer Graphics, 7 (3): 253–264, 2001.
[24] C. R. Salama, M. Keller, and P. Kohlmann, High-level user interfaces for transfer function design with semantics. IEEE Transactions on Visualization and Computer Graphics, 12 (5): 1021–1028, 2006.
[25] M. Singh and B. L. Anderson, Towards a perceptual theory of transparency. Psychological Review, 109 (3): 492–519, July 2002.
[26] M. Singh, J. D. Kadt, and B. L. Anderson, Predicting perceived transparency in textured displays. Journal of Vision, 1 (3): 277–277, 2003.
[27] S. Treue, M. Husain, and R. Andersen, Human perception of structure from motion. Vision Research, 31: 59–75, 1991.
[28] L. Wang, J. Giesen, K. T. McDonnell, P. Zolliker, and K. Mueller, Color design for illustrative visualization. IEEE Transactions on Visualization and Computer Graphics, 14 (6): 1739–1754, 2008.
[29] Y. Wu and H. Qu, Interactive transfer function design based on editing direct volume rendered images. IEEE Transactions on Visualization and Computer Graphics, 13 (5): 1027–1040, 2007.

Index Terms:
Direct volume rendering, image enhancement, layer perception.
Citation:
Ming-Yuen Chan, Yingcai Wu, Wai-Ho Mak, Wei Chen, Huamin Qu, "Perception-Based Transparency Optimization for Direct Volume Rendering," IEEE Transactions on Visualization and Computer Graphics, vol. 15, no. 6, pp. 1283-1290, Nov.-Dec. 2009, doi:10.1109/TVCG.2009.172
Usage of this product signifies your acceptance of the Terms of Use.