A full second order variational model for multiscale texture analysis
type: Item
instance of: scholarly article
title: A full second order variational model for multiscale texture analysis
zbMATH Open document ID: 1291.90235
published in: Computational Optimization and Applications
publication date: 2013-04-15T00:00:00Z
Mathematics Subject Classification ID: 90C30
zbMATH DE Number: 6154021
zbMATH Keywords: second-order total variation
zbMATH Keywords: image reconstruction
zbMATH Keywords: denoising
zbMATH Keywords: texture analysis
zbMATH Keywords: variational method
author: M. Bergounioux
author: Loic Piffet
MaRDI profile type: Publication
full work available at URL: s10589-012-9484-9
OpenAlex ID: W2004197742
cites work: Analysis of bounded variation penalty methods for ill-posed problems
cites work: Q4954179
cites work: Variational Analysis in Sobolev andBVSpaces
cites work: Modeling very oscillating signals. Application to image processing
cites work: Image decomposition into a bounded variation component and an oscillating component
cites work: A second-order model for image denoising
cites work: Analysis of Texture Anisotropy Based on Some Gaussian Fields with Spectral Density
cites work: The Discontinuity Set of Solutions of the TV Denoising Problem and Some Extensions
cites work: An algorithm for total variation minimization and applications
cites work: Fonctions à hessien borné
cites work: Q4767831
cites work: Q3134551
cites work: Oscillating patterns in image processing and nonlinear evolution equations. The fifteenth Dean Jacqueline B. Lewis memorial lectures
cites work: Nonlinear total variation based noise removal algorithms
cites work: Image Decomposition and Restoration Using Total Variation Minimization and theH1
cites work: Modeling textures with total variation minimization and oscillating patterns in image processing
cites work: Image denoising and decomposition with total variation minimization and oscillatory functions
cites work: Structural Properties of Solutions to Total Variation Regularization Problems
cites work: Efficient Schemes for Total Variation Minimization Under Constraints in Image Processing
DOI: 10.1007/S10589-012-9484-9
description: scientific article; zbMATH DE number 6154021