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Image restoration via tight frame regularization and local constraints
Fang Li, Tieyong Zeng
*
*
Corresponding author for this work
Department of Mathematics
Research output
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Contribution to journal
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Journal article
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peer-review
5
Citations (Scopus)
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Dive into the research topics of 'Image restoration via tight frame regularization and local constraints'. Together they form a unique fingerprint.
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Keyphrases
Tight Frame
100%
Image Reconstruction
100%
Regularization Constraint
100%
Local Constraints
100%
Deblurring
50%
Global Constraints
50%
Numerical Scheme
25%
Total Variation
25%
Denoising
25%
Image Denoising
25%
Cartoons
25%
Variational
25%
Augmented Lagrangian Method
25%
Restoration Model
25%
Frame-based Model
25%
Spatial Adaptive
25%
Image Region
25%
Additive White Gaussian Noise
25%
Parameter Adaptation
25%
Split Bregman Algorithm
25%
Augmented Lagrange multiplier
25%
Fidelity Term
25%
Engineering
Regularization
100%
Image Restoration
100%
Numerical Scheme
50%
Total Variation
50%
Lagrangian Method
50%
Frame-Based Model
50%
Additive White Gaussian Noise
50%
Image Region
50%