Progressive transmission and rendering of foveated volume data

With development of biomedical and networking technology, interactive volume rendering with data transmitted via the network becomes an interesting topic. Two technical problems are data transmission and fast volume rendering. In this paper, two schemes using Wavelet foveation are proposed and implemented: the region-based and coarse-to-fine. The first scheme transmits and renders the region of interest (ROI) of volume data on the client site at highest resolution for the first time, and consequently it iteratively expands the region layer by layer towards to the peripheral. While the second one gives a complete image in a low resolution for the first time on the client. The detail coefficients will be transmitted continuously and the rendering result will be progressively refined depending on the distance to the ROI.

[1]  Insung Ihm,et al.  Wavelet-Based 3D Compression Scheme for Very Large Volume Data , 1998, Graphics Interface.

[2]  Klaus Mueller,et al.  A practical evaluation of popular volume rendering algorithms , 2000, VVS '00.

[3]  Yeong-Gil Shin,et al.  An efficient wavelet-based compression method for volume rendering , 1999, Proceedings. Seventh Pacific Conference on Computer Graphics and Applications (Cat. No.PR00293).

[4]  Alyn P. Rockwood,et al.  Enabling View-Dependent Progressive Volume Visualization on the Grid , 2003, IEEE Computer Graphics and Applications.

[5]  E. Chang Wavelet Foveation , 1999 .

[6]  Lars Lippert Wavelet-based volume rendering , 1998 .

[7]  Markus H. Gross,et al.  Two methods for wavelet-based volume rendering , 1997, Comput. Graph..

[8]  Lee Westover,et al.  Footprint evaluation for volume rendering , 1990, SIGGRAPH.

[9]  Joerg Meyer,et al.  Remote transformation and local 3D reconstruction and visualization of biomedical data sets in Java3D , 2002, IS&T/SPIE Electronic Imaging.

[10]  Jos B. T. M. Roerdink,et al.  X-ray volume rendering by hierarchical wavelet splatting , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[11]  Praveen Bhaniramka,et al.  OpenGL volumizer: a toolkit for high quality volume rendering of large data sets , 2002, Symposium on Volume Visualization and Graphics, 2002. Proceedings. IEEE / ACM SIGGRAPH.

[12]  Martin Kraus,et al.  High-quality pre-integrated volume rendering using hardware-accelerated pixel shading , 2001, HWWS '01.

[13]  M. Levoy,et al.  Fast volume rendering using a shear-warp factorization of the viewing transformation , 1994, SIGGRAPH.

[14]  Wolfgang Straßer,et al.  Interactive rendering of large volume data sets , 2002, IEEE Visualization, 2002. VIS 2002..