Alternating method based on framelet l0-norm and TV regularization for image restoration

DOI10.1080/17415977.2018.1500569zbMath1465.65121OpenAlexW2885529258WikidataQ113093375 ScholiaQ113093375MaRDI QIDQ4990726

GuoXi Ni, Jingjing Liu, Shaowen Yan

Publication date: 31 May 2021

Published in: Inverse Problems in Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/17415977.2018.1500569

zbMATH Keywords

augmented Lagrangian methodimage restorationproximity operator\(l_0\) regularizationframelet transform

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) Computing methodologies for image processing (68U10) White noise theory (60H40) Numerical methods for discrete and fast Fourier transforms (65T50) Numerical methods for inverse problems for boundary value problems involving PDEs (65N21) Numerical solution of discretized equations for boundary value problems involving PDEs (65N22) Regularization by noise (60H50)

Related Items (3)

A high order PDE-constrained optimization for the image denoising problem ⋮ A second-order nonlocal regularized variational model for multiframe image super-resolution ⋮ Bilevel optimal parameter learning for a high-order nonlocal multiframe super-resolution problem

Uses Software

• RecPF

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