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CVPR
2003
IEEE
14 years 9 months ago
Vector-Valued Image Regularization with PDE's : A Common Framework for Different Applications
1 We address the problem of vector-valued image regularization with variational methods and PDE's. From the study of existing formalisms, we propose a unifying framework base...
David Tschumperlé, Rachid Deriche
CVPR
2009
IEEE
15 years 2 months ago
Learning Optimized MAP Estimates in Continuously-Valued MRF Models
We present a new approach for the discriminative training of continuous-valued Markov Random Field (MRF) model parameters. In our approach we train the MRF model by optimizing t...
Kegan G. G. Samuel, Marshall F. Tappen
ICIP
2005
IEEE
14 years 9 months ago
Threshold dynamics for shape reconstruction and disocclusion
We propose a very efficient numerical algorithm for minimizing certain curvature dependent functionals that appear in a variety of well known variational models of image processin...
Selim Esedoglu, Steven J. Ruuth, Richard Tsai
ICIP
2009
IEEE
14 years 8 months ago
An Overview Of Inverse Problem Regularization Using Sparsity
Sparsity constraints are now very popular to regularized inverse problems. We review several approaches which have been proposed in the last ten years to solve inverse problems su...
CVPR
2005
IEEE
14 years 9 months ago
Fields of Experts: A Framework for Learning Image Priors
We develop a framework for learning generic, expressive image priors that capture the statistics of natural scenes and can be used for a variety of machine vision tasks. The appro...
Stefan Roth, Michael J. Black