Volumetric Data Reduction in a Compressed Sensing Framework

In this paper, we investigate compressed sensing principles to devise an in‐situ data reduction framework for visualization of volumetric datasets. We exploit the universality of the compressed sensing framework and show that the proposed method offers a refinable data reduction approach for volumet...

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Vydané v:	Computer graphics forum Ročník 33; číslo 3; s. 111 - 120
Hlavní autori:	Xu, X., Sakhaee, E., Entezari, A.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford Blackwell Publishing Ltd 01.06.2014
Predmet:	Analysis Categories and Subject Descriptors (according to ACM CCS) Compressed Computer graphics Data reduction Detection Fourier analysis I.4.10 [Image Processing and Computer Vision]: Image Representation-Volumetric I.4.2 [Image Processing and Computer Vision]: Compression-Approximate methods I.4.5 [Image Processing and Computer Vision]: Reconstruction-Transform methods Image processing systems Reconstruction Representations Studies Visualization Volumetric analysis
ISSN:	0167-7055, 1467-8659
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