Digital inpainting based on the Mumford–Shah–Euler image model
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Summary
Two novel inpainting models based on the Mumford–Shah image model and its high order correction are proposed, and their efficient numerical realizationbased on the Γ-convergence approximations of Ambrosio & Tortorelli and De Giorgi are presented.
- Type
- article
- Published
- 2002-08-01
- Cited by
- 467
- References
- 58
- Access
- Open access
- OpenAlex
- https://openalex.org/W2131831293
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:7017711
Keywords
Inpainting, Image (mathematics), Euler's formula, Bounded function, Realization (probability)
References
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- An axiomatic approach to image interpolation
- Visual reconstruction with discontinuities using variational methods
- A variational method for the recovery of smooth boundaries
- Scientific Computing and Differential Equations: An Introduction to Numerical Methods
- Mathematical Models for Local Nontexture Inpaintings
- Introduction to applied mathematics
- Error concealment technique using projection data for block-based image coding
- Nontexture Inpainting by Curvature-Driven Diffusions
- Euler's Elastica and Curvature-Based Inpainting
- A level set algorithm for minimizing the Mumford-Shah functional in image processing
- Filling-in by joint interpolation of vector fields and gray levels
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- Texture Enhanced Histogram Equalization Using TV- L^1 Image Decomposition
- USING CSRBFS FOR SURFACE RETOUCHING
- Mathematical Approaches for Image Enhancement Problems
- Computer aided puzzle assembly based on shape and texture information
- On a Variational Problem Arising in Image Reconstruction
- The sharp-interface limit of the action functional for Allen-Cahn in one space dimension
- Exemplar-Based Color Image Inpainting Using a Simple and Effective Gradient Function
- Numerical Analysis of the Mumford-Shah and Mumford-Shah-Euler Functionals for Sphere-Valued Functions, and applications to Numerical Image Processing
- MULTIGRID METHOD FOR A MODIFIED CURVATURE DRIVEN DIFFUSION MODEL FOR IMAGE INPAINTING
- A Good Image Model Eases Restoration
- Incorporating Spatial Information into Density Estimates and Street Gang Models
- A Novel Color Image Inpainting Guided by Structural Similarity Index Measure and Improved Color Angular Radial Transform
- Interpolation of Three-Dimensional (3-D) Light Detection and Ranging (LiDAR) Point Cloud Data onto a Uniform Upsampled Grid
- A good image model eases restoration - on the contribution of Rudin-Osher-Fatmi's BV image model
- Novel higher order regularisation methods for image reconstruction
- A Cahn–Hilliard System with a Fidelity Term for Color Image Inpainting
- Image inpainting with the complex Ginzburg-Landau equation