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» A Bayesian Approach to Image Restoration
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CVPR
2004
IEEE
15 years 11 months ago
Efficient Belief Propagation for Early Vision
Markov random field models provide a robust and unified framework for early vision problems such as stereo, optical flow and image restoration. Inference algorithms based on graph...
Pedro F. Felzenszwalb, Daniel P. Huttenlocher
TMI
2010
182views more  TMI 2010»
14 years 8 months ago
A Bayesian Mixture Approach to Modeling Spatial Activation Patterns in Multisite fMRI Data
Abstract—We propose a probabilistic model for analyzing spatial activation patterns in multiple functional magnetic resonance imaging (fMRI) activation images such as repeated ob...
Seyoung Kim, Padhraic Smyth, Hal S. Stern
ICICIC
2006
IEEE
15 years 3 months ago
An Edge-Driven Total Variation Approach to Image Deblurring and Denoising
Traditional nonlinear filtering techniques are observed in underutilization of blur identification techniques, and vice versa. To improve blind image restoration, a designed edg...
Hongwei Zheng, Olaf Hellwich
ICIP
1997
IEEE
15 years 1 months ago
An axiomatic approach to image interpolation
We discuss possible algorithms for interpolating data given in a set of curves and or points in the plane. We propose a set of basic assumptions to be satis ed by the interpolatio...
Vicent Caselles, Jean-Michel Morel, Catalina Sbert
93
Voted
CVPR
2008
IEEE
15 years 11 months ago
A Bayesian approach for image segmentation with shape priors
Color and texture have been widely used in image segmentation; however, their performance is often hindered by scene ambiguities, overlapping objects, or missing parts. In this pa...
Hang Chang, Qing Yang, Bahram Parvin