Point-wise behavior of the Geman-McClure and the Hebert-Leahy image restoration models
DOI10.3934/ipi.2015.9.835zbMath1359.94034OpenAlexW2552493229WikidataQ113053487 ScholiaQ113053487MaRDI QIDQ256067
Juha Tiirola, Petteri Harjulehto, Peter A. Hästö
Publication date: 9 March 2016
Published in: Inverse Problems and Imaging (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3934/ipi.2015.9.835
Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Methods involving semicontinuity and convergence; relaxation (49J45) Inverse problems in optimal control (49N45)
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Cites Work
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- Nonlinear total variation based noise removal algorithms
- A variational method in image segmentation: Existence and approximation results
- An introduction to \(\Gamma\)-convergence
- Non-local approximation of the Mumford-Shah functional
- Implementation of an adaptive finite-element approximation of the Mumford-Shah functional
- Singular sets of minimizers for the Mumford-Shah functional
- Asymptotic behavior of a Geman and McClure discrete model
- Optimal approximations by piecewise smooth functions and associated variational problems
- Approximation of functional depending on jumps by elliptic functional via t-convergence
- Finite-differences discretizations of the mumford-shah functional
- Analysis of a Nonconvex Problem Related to Signal Selective Smoothing
- Finite difference approximation of the Mumford-Shah functional
- Gamma-convergence of certain modified Perona-Malik functionals
- Discrete approximation of the Mumford-Shah functional in dimension two
- Image Segmentation by Variational Methods: Mumford and Shah Functional and the Discrete Approximations
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