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» Regularized Interpolation for Noisy Images
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CVPR
2001
IEEE
14 years 9 months ago
Diffusion Tensor Regularization with Constraints Preservation
This paper deals with the problem of regularizing noisy fields of diffusion tensors, considered as symmetric and semi-positive definite ? ? ? matrices (as for instance 2D structur...
David Tschumperlé, Rachid Deriche
JMIV
2008
121views more  JMIV 2008»
13 years 7 months ago
A Geometric Approach for Regularization of the Data Term in Stereo-Vision
Every stereovision application must cope with the correspondence problem. The space of the matching variables, often consisting of spatial coordinates, intensity and disparity, is...
Rami Ben-Ari, Nir A. Sochen
JMIV
2007
83views more  JMIV 2007»
13 years 7 months ago
Minimization of a Detail-Preserving Regularization Functional for Impulse Noise Removal
Recently, a powerful two-phase method for restoring images corrupted with high level impulse noise has been developed. The main drawback of the method is the computational efficie...
Jian-Feng Cai, Raymond H. Chan, Carmine Di Fiore
TMI
2011
127views more  TMI 2011»
13 years 2 months ago
Reconstruction of Large, Irregularly Sampled Multidimensional Images. A Tensor-Based Approach
Abstract—Many practical applications require the reconstruction of images from irregularly sampled data. The spline formalism offers an attractive framework for solving this prob...
Oleksii Vyacheslav Morozov, Michael Unser, Patrick...
TIP
2010
162views more  TIP 2010»
13 years 2 months ago
Super-Resolution With Sparse Mixing Estimators
We introduce a class of inverse problem estimators computed by mixing adaptively a family of linear estimators corresponding to different priors. Sparse mixing weights are calcula...
Stéphane Mallat, Guoshen Yu