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Model selection criteria for image restoration
Abd Krim Seghouane
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Corresponding author for this work
Research output
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Contribution to journal
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Article
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peer-review
23
Citations (Scopus)
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Dive into the research topics of 'Model selection criteria for image restoration'. Together they form a unique fingerprint.
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Engineering
Selection Criterion
100%
Regularization Parameter
100%
Image Restoration
100%
Learning Systems
66%
Restored Image
66%
Image Restoration Problem
66%
Tasks
33%
Akaike Information Criterion
33%
Kullback-Leibler Divergence
33%
Observed Image
33%
Computer Science
Image Restoration
100%
Selection Criterion
100%
Regularization Parameter
100%
Learning Systems
66%
Information Criterion
66%
Restored Image
66%
Image Restoration Problem
66%
Leibler Divergence
33%
Psychology
Model Selection
100%
Akaike Information Criterion
50%
Bayesian Information Criterion
50%
Chemical Engineering
Learning System
100%