Inclusion and estimates for the jumps of minimizers in variational denoising

Sensitivity, stability, well-posedness (49K40) Nonsmooth analysis (49J52) Degenerate elliptic equations (35J70) Regularity of solutions in optimal control (49N60) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Inverse problems in optimal control (49N45)

Cites Work

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Nonlinear total variation based noise removal algorithms
Regularity for solutions of the total variation denoising problem
Funzioni BV e tracce
A trace inequality of John von Neumann
Parabolic quasilinear equations minimizing linear growth functionals
On the jump set of solutions of the total variation flow
Bounds for vector valued minimizers of some integral functionals
The jump set under geometric regularisation. II: Higher-order approaches
Collaborative Total Variation: A General Framework for Vectorial TV Models
The Natural Vectorial Total Variation Which Arises from Geometric Measure Theory
Optimal approximations by piecewise smooth functions and associated variational problems
Secrets of image denoising cuisine
The Discontinuity Set of Solutions of the TV Denoising Problem and Some Extensions
Perturbation Bounds for Matrix Eigenvalues
Rank one property for derivatives of functions with bounded variation
Total Variation Denoising in $l^1$ Anisotropy
A General Chain Rule for Distributional Derivatives
Continuity results for TV-minimizers
Existence of W^{1,1} solutions to a class of variational problems with linear growth on convex domains
ON THE STRUCTURE OF MEASURES CONSTRAINED BY LINEAR PDES
Rectifiability of the jump set of locally integrable functions
The Jump Set under Geometric Regularization. Part 1: Basic Technique and First-Order Denoising
A Review of Image Denoising Algorithms, with a New One
Total Generalized Variation
Real Analysis
Local estimates for vectorial Rudin–Osher–Fatemi type problems in one dimension

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