Lossy volume compression using Tucker truncation and thresholding

Tensor decompositions, in particular the Tucker model, are a powerful family of techniques for dimensionality reduction and are being increasingly used for compactly encoding large multidimensional arrays, images and other visual data sets. In interactive applications, volume data often needs to be...

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Bibliographic Details
Published in:	The Visual computer Vol. 32; no. 11; pp. 1433 - 1446
Main Authors:	Ballester-Ripoll, Rafael, Pajarola, Renato
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2016 Springer Nature B.V
Subjects:	3-D graphics Algorithms Approximation Artificial Intelligence Compression ratio Computer Graphics Computer Science Data compression Data reduction Datasets Decomposition Fourier transforms Image coding Image Processing and Computer Vision Original Article Parameters Reconstruction Tensors Video compression Wavelet transforms Tensor rank reduction Tensor approximation Higher-order decompositions Data compression Multidimensional data encoding
ISSN:	0178-2789, 1432-2315
Online Access:	Get full text
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