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The structure of optimal parameters for image restoration problems

The structure of optimal parameters for image restoration problems

8 May 2015
J. D. L. Reyes
Carola-Bibiane Schönlieb
T. Valkonen
ArXivPDFHTML

Papers citing "The structure of optimal parameters for image restoration problems"

6 / 6 papers shown
Title
Bilevel parameter learning for higher-order total variation
  regularisation models
Bilevel parameter learning for higher-order total variation regularisation models
J. D. L. Reyes
C. -B. Schönlieb
T. Valkonen
26
115
0
28 Aug 2015
The jump set under geometric regularisation. Part 2: Higher-order
  approaches
The jump set under geometric regularisation. Part 2: Higher-order approaches
T. Valkonen
28
14
0
09 Jul 2014
Revisiting loss-specific training of filter-based MRFs for image
  restoration
Revisiting loss-specific training of filter-based MRFs for image restoration
Yunjin Chen
Thomas Pock
René Ranftl
Horst Bischof
33
64
0
16 Jan 2014
Learning $\ell_1$-based analysis and synthesis sparsity priors using
  bi-level optimization
Learning ℓ1\ell_1ℓ1​-based analysis and synthesis sparsity priors using bi-level optimization
Yunjin Chen
Thomas Pock
Horst Bischof
56
39
0
16 Jan 2014
Insights into analysis operator learning: From patch-based sparse models
  to higher-order MRFs
Insights into analysis operator learning: From patch-based sparse models to higher-order MRFs
Yunjin Chen
René Ranftl
Thomas Pock
44
114
0
13 Jan 2014
Learning Graphical Model Parameters with Approximate Marginal Inference
Learning Graphical Model Parameters with Approximate Marginal Inference
Justin Domke
TPM
47
187
0
15 Jan 2013
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