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ICIP
2010
IEEE
13 years 5 months ago
Image modeling and enhancement via structured sparse model selection
An image representation framework based on structured sparse model selection is introduced in this work. The corresponding modeling dictionary is comprised of a family of learned ...
Guoshen Yu, Guillermo Sapiro, Stéphane Mall...
TIP
1998
109views more  TIP 1998»
13 years 7 months ago
A general framework for low level vision
—We introduce a new geometrical framework based on which natural flows for image scale space and enhancement are presented. We consider intensity images as surfaces in the (x; I...
Nir A. Sochen, Ron Kimmel, Ravi Malladi
VIS
2004
IEEE
140views Visualization» more  VIS 2004»
14 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
ECCV
2004
Springer
14 years 9 months ago
Image and Video Segmentation by Anisotropic Kernel Mean Shift
Mean shift is a nonparametric estimator of density which has been applied to image and video segmentation. Traditional mean shift based segmentation uses a radially symmetric kerne...
Jue Wang, Bo Thiesson, Yingqing Xu, Michael F. Coh...
DAGM
2001
Springer
13 years 12 months ago
Scale Adaptive Filtering Derived from the Laplace Equation
In this paper, we present a new approach to scale-space which is derived from the 3D Laplace equation instead of the heat equation. The resulting lowpass and bandpass filters are...
Michael Felsberg, Gerald Sommer