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A Color Elastica Model for Vector-Valued Image Regularization
Hao Liu
, Xue Cheng Tai
, Ron Kimmel
, Roland Glowinski
Department of Mathematics
Research output
:
Contribution to journal
›
Journal article
›
peer-review
22
Citations (Scopus)
77
Downloads (Pure)
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Dive into the research topics of 'A Color Elastica Model for Vector-Valued Image Regularization'. Together they form a unique fingerprint.
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Keyphrases
Color Image
100%
Vector-valued Images
100%
Elastica
100%
Image Regularization
100%
Euler's Elastica
50%
Higher-order Derivatives
50%
Initial Value Problem
50%
Geometric Model
50%
Polyakov Action
50%
Challenging Tasks
25%
Numerical Experiments
25%
Operator Splitting Method
25%
Image Processing
25%
Fractional Step
25%
Nonlinearity
25%
Total Variation Model
25%
Fast Algorithm
25%
Image Data
25%
Level-set
25%
Image Level
25%
Color Image Processing
25%
Steady State
25%
Grayscale Image
25%
Matrix-valued
25%
Image Formation
25%
Single Channel
25%
Nonlinear Geometry
25%
Euler's Elastica Energy
25%
Numerical Solver
25%
High Energy Physics
25%
Vector-valued
25%
Laplace-Beltrami Operator
25%
Multichannel Data
25%
Elastic Properties
25%
Vector Matrix
25%
Geometric Measure
25%
Three-vector
25%
Image Curvature
25%
Engineering
Regularization
100%
Color Image
100%
Elastica Model
100%
Geometric Model
75%
Initial Value
50%
High-Order Derivative
50%
Numerical Experiment
25%
Total Variation
25%
Subproblem
25%
Image Processing
25%
Image Color Processing
25%
Multichannel
25%
Fast Algorithm
25%
Nonlinearity
25%
Minimizer
25%
Closed Form Solution
25%
Grayscale Image
25%
Level Set
25%
Image Channel
25%
Single Channel
25%
Fractional Step
25%
Image Formation
25%
Beltrami Operator
25%
High energy physics
25%
Mathematics
Regularization
100%
Color Image
100%
Minimizes
80%
Image Processing
40%
Initial-Value Problem
40%
Operator Splitting
20%
Closed Form Solution
20%
Nonlinearity
20%
Subproblem
20%
Numerical Experiment
20%
Total Variation
20%
Matrix (Mathematics)
20%
Manifold
20%
Level Set
20%
Fast Algorithm
20%
Laplace-Beltrami Operator
20%