Publication: TTHRESH: tensor compression for multidimensional visual data
TTHRESH: tensor compression for multidimensional visual data
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Ballester-Ripoll, R., Lindstrom, P., & Pajarola, R. (2020). TTHRESH: tensor compression for multidimensional visual data. IEEE Transactions on Visualization and Computer Graphics, 26(9), 2891–2903. https://doi.org/10.1109/TVCG.2019.2904063
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Memory and network bandwidth are decisive bottlenecks when handling high-resolution multidimensional data sets in visualization applications, and they increasingly demand suitable data compression strategies. We introduce a novel lossy compression algorithm for multidimensional data over regular grids. It leverages the higher-order singular value decomposition (HOSVD), a generalization of the SVD to three dimensions and higher, together with bit-plane, run-length and arithmetic coding to compress the HOSVD transform coefficients. Our
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- Ballester-Ripoll, Rafael
- Lindstrom, Peter
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Ballester-Ripoll, R., Lindstrom, P., & Pajarola, R. (2020). TTHRESH: tensor compression for multidimensional visual data. IEEE Transactions on Visualization and Computer Graphics, 26(9), 2891–2903. https://doi.org/10.1109/TVCG.2019.2904063
