Triangulated Surface Denoising using High Order Regularization with Dynamic Weights
DOI10.1137/17M115743XzbMath1405.65024arXiv1711.08137OpenAlexW2768476277WikidataQ128607086 ScholiaQ128607086MaRDI QIDQ4646449
Huayan Zhang, Rongjie Lai, Chunlin Wu, Zheng Liu
Publication date: 14 January 2019
Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1711.08137
Numerical optimization and variational techniques (65K10) Computing methodologies for image processing (68U10) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
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Cites Work
- Unnamed Item
- A feasible method for optimization with orthogonality constraints
- Nonlinear total variation based noise removal algorithms
- Image restoration: a wavelet frame based model for piecewise smooth functions and beyond
- A splitting method for orthogonality constrained problems
- On geodesic curvature flow with level set formulation over triangulated surfaces
- A second-order model for image denoising
- Enhancing sparsity by reweighted \(\ell _{1}\) minimization
- Random walks for feature-preserving mesh denoising
- Multiscale representation of surfaces by tight wavelet frames with applications to denoising
- Variational methods on the space of functions of bounded Hessian for convexification and denoising
- Surfaces in computer aided geometric design: A survey with new results
- Image recovery via total variation minimization and related problems
- Denoising with higher order derivatives of bounded variation and an application to parameter estimation
- Error forgetting of Bregman iteration
- A wavelet frame approach for removal of mixed Gaussian and impulse noise on surfaces
- A combined first and second order variational approach for image reconstruction
- Fast dual minimization of the vectorial total variation norm and applications to color image processing
- Iterative image restoration combining total variation minimization and a second-order functional
- Sparse representation on graphs by tight wavelet frames and applications
- Fourth-order partial differential equations for noise removal
- A Curvilinear Search Method for p-Harmonic Flows on Spheres
- Numerical Geometry of Non-Rigid Shapes
- Noise removal using fourth-order partial differential equation with applications to medical magnetic resonance images in space and time
- Augmented Lagrangian Method, Dual Methods, and Split Bregman Iteration for ROF, Vectorial TV, and High Order Models
- A Higher Order Model for Image Restoration: The One-Dimensional Case
- Analogue of the Total Variation Denoising Model in the Context of Geometry Processing
- Laplacian smoothing and Delaunay triangulations
- Computing geodesic paths on manifolds
- Quasi-Newton Methods, Motivation and Theory
- High-Order Total Variation-Based Image Restoration
- Reweighted $\ell_1$-Minimization for Sparse Solutions to Underdetermined Linear Systems
- Mesh denoising via L 0 minimization
- A Ridge and Corner Preserving Model for Surface Restoration
- Image restoration: Total variation, wavelet frames, and beyond
- An Iterative Regularization Method for Total Variation-Based Image Restoration
- Sparse Signal Reconstruction via Iterative Support Detection
- Total Generalized Variation
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