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DGCI
2003
Springer
13 years 10 months ago
Shape Preserving Digitization of Ideal and Blurred Binary Images
In order to make image analysis methods more reliable it is important to analyse to what extend shape information is preserved during image digitization. Most existing approaches t...
Ullrich Köthe, Peer Stelldinger
PAMI
2010
225views more  PAMI 2010»
12 years 11 months ago
Semi-Supervised Classification via Local Spline Regression
Abstract--This paper presents local spline regression for semisupervised classification. The core idea in our approach is to introduce splines developed in Sobolev space to map the...
Shiming Xiang, Feiping Nie, Changshui Zhang
ISBI
2004
IEEE
14 years 5 months ago
On the Regularization of SENSE and Space-RIP in Parallel MR Imaging
Parallel imaging methods provide accelerated multiple coil MR image acquisitions via reconstruction of sub-sampled kspace data. Currently, analytic comparison between different re...
William Scott Hoge, Bruno Madore, Walid E. Kyriako...
TSP
2008
116views more  TSP 2008»
13 years 4 months ago
Nonideal Sampling and Regularization Theory
Shannon's sampling theory and its variants provide effective solutions to the problem of reconstructing a signal from its samples in some "shift-invariant" space, wh...
Sathish Ramani, Dimitri Van De Ville, Thierry Blu,...
ICIP
2002
IEEE
14 years 6 months ago
Multigrid image reconstruction from arbitrarily spaced samples
We propose a novel multiresolution-multigrid based signal reconstruction method from arbitrarily spaced samples. The signal is reconstructed on a uniform grid using B-splines basi...
Michael Sühling, Michael Unser, Muthuvel Arig...