Box constrained total generalized variation model and primal-dual algorithm for Poisson noise removal

DOI10.1007/s11868-019-00317-yzbMath1457.94023OpenAlexW2984387785WikidataQ126826600 ScholiaQ126826600MaRDI QIDQ2193940

Yehu Lv, Xin-Wei Liu

Publication date: 25 August 2020

Published in: Journal of Pseudo-Differential Operators and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11868-019-00317-y

zbMATH Keywords

image denoisingprimal-dual algorithmPoisson noisebox constrainttotal generalized variation (TGV)

Mathematics Subject Classification ID

Numerical methods involving duality (49M29) Existence theories for free problems in two or more independent variables (49J10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Discrete approximations in optimal control (49M25) Numerical methods for inverse problems for integral equations (65R32)

Cites Work

• Nonlinear total variation based noise removal algorithms
• On the Douglas-Rachford splitting method and the proximal point algorithm for maximal monotone operators
• A proximal-based deomposition method for compositions method for convex minimization problems
• A first-order primal-dual algorithm for convex problems with applications to imaging
• Augmented Lagrangian method for total generalized variation based Poissonian image restoration
• Alternating direction method for the high-order total variation-based Poisson noise removal problem
• Primal-dual algorithms for total variation based image restoration under Poisson noise
• Constrained Total Variation Deblurring Models and Fast Algorithms Based on Alternating Direction Method of Multipliers
• A proximal decomposition method for solving convex variational inverse problems
• Augmented Lagrangians and Applications of the Proximal Point Algorithm in Convex Programming
• EM-TV Methods for Inverse Problems with Poisson Noise
• A Proximal Iteration for Deconvolving Poisson Noisy Images Using Sparse Representations
• Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems
• Efficient Box-Constrained TV-Type-l¹ Algorithms for Restoring Images with Impulse Noise
• An Infeasible Primal-Dual Algorithm for Total Bounded Variation--Based Inf-Convolution-Type Image Restoration
• Total Generalized Variation

This page was built for publication: Box constrained total generalized variation model and primal-dual algorithm for Poisson noise removal