Elastic bending total variation model for image inpainting with operator splitting method
From MaRDI portal
Publication:6663414
DOI10.1016/j.camwa.2024.09.023MaRDI QIDQ6663414
Publication date: 14 January 2025
Published in: Computers & Mathematics with Applications (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Nonlinear total variation based noise removal algorithms
- Unconditionally stable schemes for higher order inpainting
- Two-dimensional model of vesicle adhesion on curved substrates
- Filtering, segmentation and depth
- Theorie der Transformationsgruppen. Zweiter Abschnitt. Unter Mitwirkung von F. Engel.
- The Shannon total variation
- Shock filter as the classifier for image inpainting problem using the Cahn-Hilliard equation
- A novel fully-decoupled, second-order time-accurate, unconditionally energy stable scheme for a flow-coupled volume-conserved phase-field elastic bending energy model
- Efficient linear schemes with unconditional energy stability for the phase field elastic bending energy model
- Image segmentation using the Cahn-Hilliard equation
- Efficient and stable exponential time differencing Runge-Kutta methods for phase field elastic bending energy models
- Splitting Methods in Communication, Imaging, Science, and Engineering
- A phase field formulation of the Willmore problem
- Optimal approximations by piecewise smooth functions and associated variational problems
- Mumford–Shah–Euler Flow with Sphere Constraint and Applications to Color Image Inpainting
- Discrete Total Variation: New Definition and Minimization
- Approximation of functional depending on jumps by elliptic functional via t-convergence
- Inpainting of Binary Images Using the Cahn–Hilliard Equation
- High-Order Total Variation-Based Image Restoration
- Euler's Elastica and Curvature-Based Inpainting
- Digital inpainting based on the Mumford–Shah–Euler image model
- Two-Phase Segmentation for Intensity Inhomogeneous Images by the Allen--Cahn Local Binary Fitting Model
- An Operator-Splitting Method for the Gaussian Curvature Regularization Model with Applications to Surface Smoothing and Imaging
- Distance Regularized Level Set Evolution and Its Application to Image Segmentation
- Higher Degree Total Variation (HDTV) Regularization for Image Recovery
- Hierarchical Super-Resolution-Based Inpainting
- A Penalty Relaxation Method for Image Processing Using Euler's Elastica Model
- A Ginzburg-Landau-\({H}^{-1}\) model and its SAV algorithm for image inpainting
- A New Operator Splitting Method for the Euler Elastica Model for Image Smoothing
This page was built for publication: Elastic bending total variation model for image inpainting with operator splitting method