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» DT-MRI Images: Estimation, Regularization, and Application
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SIGPRO
2002
92views more  SIGPRO 2002»
13 years 5 months ago
A unified method for optimizing linear image restoration filters
Image restoration from degraded images lies at the foundation of image processing, pattern recognition, and computer vision, so it has been extensively studied. A large number of ...
Masashi Sugiyama, Hidemitsu Ogawa
PAMI
2010
225views more  PAMI 2010»
13 years 15 days 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
DAGM
2008
Springer
13 years 7 months ago
Postprocessing of Optical Flows Via Surface Measures and Motion Inpainting
Dense optical flow fields are required for many applications. They can be obtained by means of various global methods which employ regularization techniques for propagating estimat...
Claudia Kondermann, Daniel Kondermann, Christoph S...
PRL
2010
105views more  PRL 2010»
13 years 4 months ago
Quasi-random nonlinear scale space
A novel nonlinear scale space framework is proposed for the purpose of multiscale image representation. The scale space decomposition problem is formulated as a general Bayesian l...
Akshaya Kumar Mishra, Alexander Wong, David A. Cla...
ISBI
2011
IEEE
12 years 9 months ago
Toward an accurate multi-fiber assessment strategy for clinical practice
Multi-tensor models provide information about the fiber bundles underlying characteristics and are of great interest for clinical applications. In this work we propose both a nov...
Benoit Scherrer, Simon K. Warfield