Efficient ray tracing of volume data
ACM Transactions on Graphics (TOG)
Fast algorithms for volume ray tracing
VVS '92 Proceedings of the 1992 workshop on Volume visualization
Fast volume rendering using a shear-warp factorization of the viewing transformation
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Lossless compression of volume data
VVS '94 Proceedings of the 1994 symposium on Volume visualization
A multiresolution framework for volume rendering
VVS '94 Proceedings of the 1994 symposium on Volume visualization
Rendering from compressed textures
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
BLaC-Wavelets: a multiresolution analysis with non-nested spaces
Proceedings of the 7th conference on Visualization '96
Wavelets for computer graphics: theory and applications
Wavelets for computer graphics: theory and applications
Introduction to data compression
Introduction to data compression
Multiscale Volume Representation by a DoG Wavelet
IEEE Transactions on Visualization and Computer Graphics
Volume Data and Wavelet Transforms
IEEE Computer Graphics and Applications
Computer
Fast volume rendering of compressed data
VIS '93 Proceedings of the 4th conference on Visualization '93
Accelerating volume animation by space-leaping
VIS '93 Proceedings of the 4th conference on Visualization '93
Real-time decompression and visualization of animated volume data
Proceedings of the conference on Visualization '01
Interactive rendering of large volume data sets
Proceedings of the conference on Visualization '02
Enabling View-Dependent Progressive Volume Visualization on the Grid
IEEE Computer Graphics and Applications
ESA '01 Proceedings of the 9th Annual European Symposium on Algorithms
Selective Refinement Queries for Volume Visualization of Unstructured Tetrahedral Meshes
IEEE Transactions on Visualization and Computer Graphics
A parallel multiresolution volume rendering algorithm for large data visualization
Parallel Computing - Parallel graphics and visualization
Transform Coding for Hardware-accelerated Volume Rendering
IEEE Transactions on Visualization and Computer Graphics
Parallel multiresolution volume rendering of large data sets with error-guided load balancing
EG PGV'04 Proceedings of the 5th Eurographics conference on Parallel Graphics and Visualization
Parallel reflective symmetry transformation for volume data
EG PGV'07 Proceedings of the 7th Eurographics conference on Parallel Graphics and Visualization
A multiresolution volume rendering framework for large-scale time-varying data visualization
VG'05 Proceedings of the Fourth Eurographics / IEEE VGTC conference on Volume Graphics
Wavelet-based multiresolution isosurface rendering
VG'10 Proceedings of the 8th IEEE/EG international conference on Volume Graphics
Interactive visualization of medical volume models in mobile devices
Personal and Ubiquitous Computing
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Since volume rendering needs a lot of computation time and memory space, many researches have been suggested for accelerating rendering or reducing data size using compression techniques. However, there is little progress in a research for accomplishing these goals. This paper presents an efficient wavelet-based compression method providing fast visualization of large volume data, which is divided into individual blocks with regular resolution. Wavelet transformed block is run-length encoded in accordance with the reconstruction order resulting in a fairly good compression ratio and fast reconstruction. A cache data structure is designed to speed up the reconstruction, and an adaptive compression scheme is proposed to produce a higher quality rendered image. The compression method proposed here is combined with several accelerated volume rendering algorithms, such as brute-force volume rendering with min-max table and Lacroute's shear-warp factorization. Experimental results have shown the space requirement to be about 1/27 and the rendering time to be about 3 seconds for data sets while preserving the quality of an image much like using the original data.