A Globally Convergent Algorithm for a Constrained Non-Lipschitz Image Restoration Model

Keyphrases

• Image Reconstruction 100%
• Restoration Model 100%
• Non-Lipschitz 100%
• Globally Convergent Algorithm 100%
• Natural Images 50%
• Piecewise Constant Images 50%
• Preservation Property 25%
• Numerical Experiments 25%
• Regularization Term 25%
• First-order 25%
• Iterative Sequence 25%
• Gaussian Noise 25%
• Noise Removal 25%
• Edge Preserving 25%
• Convergence Analysis 25%
• Staircase Effect 25%
• Globally Convergent 25%
• Numerical Comparison 25%
• Regularization Constraint 25%
• Box Constraints 25%
• Smooth Region 25%
• Constrained Model 25%
• Box-constrained 25%
• Lower Bound Theory 25%
• Support Shrinking 25%
• Shrinkage Algorithm 25%
• Higher-order Regularization 25%
• Linearization 25%

Mathematics

• Regularization 100%
• Edge 100%
• Natural Image 100%
• Numerical Experiment 50%
• Convergence Analysis 50%
• Random Noise 50%
• Preserving Property 50%
• Constrained Model 50%
• Nonzero Entry 50%

Computer Science

• Image Restoration 100%
• Preserving Property 33%
• Regularization 33%
• Regularization Term 33%
• Gaussian White Noise 33%
• Mathematical Convergence 33%
• Constrained Model 33%
• Iterative Sequence 33%