On Regularization Parameters Estimation in Edge–Preserving Image Reconstruction

DOI10.1007/978-3-540-69848-7_93zbMath1296.94030OpenAlexW1500919168MaRDI QIDQ3512548

Ivan Gerace, Francesca Martinelli

Publication date: 18 July 2008

Published in: Computational Science and Its Applications – ICCSA 2008 (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-540-69848-7_93

Mathematics Subject Classification ID

Ill-posedness and regularization problems in numerical linear algebra (65F22) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Numerical methods for inverse problems for initial value and initial-boundary value problems involving PDEs (65M32)

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Cites Work

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• Adaptively regularized constrained total least-squares image restoration
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Analysis of Discrete Ill-Posed Problems by Means of the L-Curve
• The Use of the L-Curve in the Regularization of Discrete Ill-Posed Problems
• A Regularization Parameter in Discrete Ill-Posed Problems

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