Spatial domain wavelet design for feature preservation in computational data sets

High-fidelity wavelet transforms can facilitate visualization and analysis of large scientific data sets. However, it is important that salient characteristics of the original features be preserved under the transformation. We present a set of filter design axioms in the spatial domain which ensure...

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Veröffentlicht in:	IEEE transactions on visualization and computer graphics Jg. 11; H. 2; S. 149 - 159
Hauptverfasser:	Craciun, G., Ming Jiang, Thompson, D., Machiraju, R.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.03.2005 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Axioms Computational fluid dynamics Computational modeling Computer Graphics Computer Simulation Computer vision Data analysis Data visualization Databases, Factual Design engineering Discrete wavelet transforms feature preservation Filters (fluid) flow fields Frequency domain analysis Index Terms- Filter bank Information Storage and Retrieval - methods lifting scheme Low pass filters Models, Theoretical Numerical Analysis, Computer-Assisted Rheology - methods Signal Processing, Computer-Assisted TVD schemes User-Computer Interface Visualization wavelet design Wavelet domain Wavelet transforms
ISSN:	1077-2626, 1941-0506
Online-Zugang:	Volltext
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