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» Vector Wavelet Thresholding for Vector Field Denoising
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VIS
2004
IEEE
140views Visualization» more  VIS 2004»
9 years 8 months ago
Vector Wavelet Thresholding for Vector Field Denoising
Noise reduction is an important preprocessing step for many visualization techniques that make use of feature extraction. We propose a method for denoising 2-D vector fields that ...
Michel A. Westenberg, Thomas Ertl
IJACTAICIT
2010
213views more  IJACTAICIT 2010»
8 years 4 months ago
Classification of Cardiac Arrhythmias using Biorthogonal Wavelets and Support Vector Machines
The classification of Electrocardiogram (ECG) is critical for diagnosis and treatment of patients with heart disorders. We present a technique for automatic the detection and clas...
Berdakh Abibullaev, Won-Seok Kang, Seung-Hyun Lee,...
ESIAT
2009
IEEE
8 years 10 months ago
A New Method of Image Denoise Using Contourlet Transform
—In all methods of image denoising, there is a problem always exists that is how to distinguish noise and edge. Now wavelet and contourlet are main tools in image denoising, but ...
Xingmei Li, Guoping Yan, Liang Chen
JMIV
2002
126views more  JMIV 2002»
8 years 7 months ago
Tree-Structured Haar Transforms
In our recent work, a class of parametric transforms, including family of Haar-like transforms, was introduced and studied in application to image compression. Parametric Haar-lik...
Karen O. Egiazarian, Jaakko Astola
DAGSTUHL
2003
8 years 8 months ago
Ranked representation of vector fields
Abstract Browsing and visualizing large datasets is often a tedious chore. Locating features, especially in a wavelet transform domain is usually offered as a possible solution. W...
Bala Krishna Nakshatrala, David Thompson, Raghu Ma...
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