Processing Stationary Noise: Model and Parameter Selection in Variational Methods

DOI10.1137/130929424zbMath1343.94005arXiv1307.4592OpenAlexW2963613741MaRDI QIDQ2876820

Pierre Weiss, Jérôme Fehrenbach

Publication date: 20 August 2014

Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1307.4592

zbMATH Keywords

stationary noiseBerry-Esseen theoremdestripingconvex analysis and optimizationmorozov principlenegative norm models

Mathematics Subject Classification ID

Central limit and other weak theorems (60F05) Numerical methods involving duality (49M29) Numerical optimization and variational techniques (65K10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (2)

A variational model for multiplicative structured noise removal ⋮ Lattice-Based Patterned Fabric Inspection by Using Total Variation with Sparsity and Low-Rank Representations

This page was built for publication: Processing Stationary Noise: Model and Parameter Selection in Variational Methods