A chromaticity-brightness model for color images denoising in a Meyer's ``\(u + v\) framework
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Publication:1674627
DOI10.1007/s00526-017-1223-8zbMath1379.49011arXiv1603.07647OpenAlexW2962694849MaRDI QIDQ1674627
Irene Fonseca, Rita Ferreira, M. Luísa Mascarenhas
Publication date: 25 October 2017
Published in: Calculus of Variations and Partial Differential Equations (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1603.07647
Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Methods involving semicontinuity and convergence; relaxation (49J45) Absolutely continuous real functions of several variables, functions of bounded variation (26B30)
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Cites Work
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- Nonlinear total variation based noise removal algorithms
- Relaxation in SBV\(_{p } (\varOmega ; S ^{d-1})\)
- Relaxation of quasiconvex functionals in \(BV(\Omega, \mathbb{R}^ N)\) for integrands \(f(x, u, \bigtriangledown u)\)
- Liquid crystals with variable degree of orientation
- Homogenization of variational problems in manifold valued \(BV\)-spaces
- Mathematical modeling of textures: application to color image decomposition with a projected gradient algorithm
- Existence and partial regularity of static liquid crystal configurations
- Density of smooth functions between two manifolds in Sobolev spaces
- Functionals with linear growth defined on vector valued BV functions
- The approximation problem for Sobolev maps between two manifolds
- On the relaxation in \(BV(\Omega ;\mathbb{R}^ m)\) of quasi-convex integrals
- An introduction to \(\Gamma\)-convergence
- Relaxation of multiple integrals below the growth exponent
- Modeling textures with total variation minimization and oscillating patterns in image processing
- A chromaticity-brightness model for color images denoising in a Meyer's ``\(u + v\) framework
- Manifold constrained variational problems
- Topology of Sobolev mappings. II.
- \(\mathcal A\)-quasiconvexity: weak-star convergence and the gap
- Modeling very oscillating signals. Application to image processing
- Image decomposition into a bounded variation component and an oscillating component
- Su una teoria generale della misura \((r-1)\)-dimensionale in uno spazio ad \(r\) dimensioni
- Homogenization of variational problems in manifold valued Sobolev spaces
- Variational Models for Image Colorization via Chromaticity and Brightness Decomposition
- Relaxation of isotropic functionals with linear growth defined on manifold constrained Sobolev mappings
- A Higher Order Model for Image Restoration: The One-Dimensional Case
- Mappings minimizing theLp norm of the gradient
- Rank one property for derivatives of functions with bounded variation
- Color image enhancement via chromaticity diffusion
- Image Decomposition and Restoration Using Total Variation Minimization and theH1
- High-Order Total Variation-Based Image Restoration
- Integral Functionals and the Gap Problem: Sharp Bounds for Relaxation and Energy Concentration