TTHRESH: Tensor Compression for Multidimensional Visual Data

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 gri...

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Veröffentlicht in:	IEEE transactions on visualization and computer graphics Jg. 26; H. 9; S. 2891 - 2903
Hauptverfasser:	Ballester-Ripoll, Rafael, Lindstrom, Peter, Pajarola, Renato
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.09.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Archiving Arithmetic coding Compression algorithms Data compression Data visualization Datasets Encoding higher-order singular value decomposition Mathematical analysis MATHEMATICS AND COMPUTING Matrix decomposition Multidimensional data scientific visualization Singular value decomposition tensor decompositions Tensors Three-dimensional displays Transform-based compression Transforms Tucker model Visualization
ISSN:	1077-2626, 1941-0506, 1941-0506
Online-Zugang:	Volltext
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