TTHRESH: Tensor Compression for Multidimensional Visual Data

• Published in: IEEE transactions on visualization and computer graphics Vol. 26; no. 9; pp. 2891 - 2903
• Main Authors: Ballester-Ripoll, Rafael, Lindstrom, Peter, Pajarola, Renato
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.09.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 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

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...