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ICASSP
2011
IEEE
13 years 1 months ago
Denoising of image patches via sparse representations with learned statistical dependencies
We address the problem of denoising for image patches. The approach taken is based on Bayesian modeling of sparse representations, which takes into account dependencies between th...
Tomer Faktor, Yonina C. Eldar, Michael Elad
PG
2007
IEEE
14 years 4 months ago
Statistical Hypothesis Testing for Assessing Monte Carlo Estimators: Applications to Image Synthesis
Image synthesis algorithms are commonly compared on the basis of running times and/or perceived quality of the generated images. In the case of Monte Carlo techniques, assessment ...
Kartic Subr, James Arvo
TMI
2008
118views more  TMI 2008»
13 years 8 months ago
A Note on the Validity of Statistical Bootstrapping for Estimating the Uncertainty of Tensor Parameters in Diffusion Tensor Imag
Abstract--Diffusion tensors are estimated from magnetic resonance images (MRIs) that are diffusion-weighted, and those images inherently contain noise. Therefore, noise in the diff...
Ying Yuan, Hongtu Zhu, Joseph G. Ibrahim, Weili Li...
CVPR
1998
IEEE
15 years 4 days ago
A Statistical Framework for Long-Range Feature Matching in Uncalibrated Image Mosaicing
The problem considered in this paper is that of estimating the projective transformation between two images in situations where the image motion is large and featurematching is no...
Tat-Jen Cham, Roberto Cipolla
FGR
2008
IEEE
166views Biometrics» more  FGR 2008»
14 years 4 months ago
Statistical body height estimation from a single image
We address the problem of estimating a person’s body height from a single uncalibrated image. The novelty of our work lies in that we handle two difficult cases not previously ...
Chiraz BenAbdelkader, Yaser Yacoob