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» Estimating demosaicing algorithms using image noise variance
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TIP
2011
123views more  TIP 2011»
14 years 6 months ago
Spatial Sparsity-Induced Prediction (SIP) for Images and Video: A Simple Way to Reject Structured Interference
We propose a prediction technique that is geared toward forming successful estimates of a signal based on a correlated anchor signal that is contaminated with complex interference...
Gang Hua, Onur G. Guleryuz
ISBI
2007
IEEE
15 years 5 months ago
Postprocessing of Brain White Matter Fiber Orientation Distribution Functions
By acquiring high angular resolution diffusion weighted magnetic resonance images (HARDI), Q-Ball analysis can disclose the 3D organization of fibrous tissue such as the brain whi...
Steven Delputte, Hans Dierckx, Els Fieremans, Yves...

Publication
1851views
17 years 21 days ago
Cerebrovascular Segmentation from TOF Using Stochastic Models
In this paper, we present an automatic statistical approach for extracting 3D blood vessels from time-of-flight (TOF) magnetic resonance angiography (MRA) data. The voxels of the d...
M. Sabry Hassouna, Aly A. Farag, Stephen Hushek, T...
ECCV
1998
Springer
16 years 1 months ago
Concerning Bayesian Motion Segmentation, Model, Averaging, Matching and the Trifocal Tensor
Abstract. Motion segmentation involves identifying regions of the image that correspond to independently moving objects. The number of independently moving objects, and type of mot...
Philip H. S. Torr, Andrew Zisserman
MICCAI
2004
Springer
16 years 14 days ago
Robust Generalized Total Least Squares Iterative Closest Point Registration
Abstract. This paper investigates the use of a total least squares approach in a generalization of the iterative closest point (ICP) algorithm for shape registration. A new General...
Raúl San José Estépar, Anders...