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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Veröffentlicht in:	Computer graphics forum Jg. 33; H. 3; S. 111 - 120
Hauptverfasser:	Xu, X., Sakhaee, E., Entezari, A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Blackwell Publishing Ltd 01.06.2014
Schlagworte:	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
Online-Zugang:	Volltext
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