Retinex based on exponent-type total variation scheme

DOI10.3934/ipi.2018050zbMath1406.80010OpenAlexW2887867441MaRDI QIDQ1785035

Yuping Duan, Zhi-Feng Pang, Lu Liu

Publication date: 27 September 2018

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

Full work available at URL: https://doi.org/10.3934/ipi.2018050

zbMATH Keywords

image restorationimage decompositionhigh-order modelalternating minimization algorithmRetinex

Mathematics Subject Classification ID

Optimality conditions for problems involving partial differential equations (49K20) Computing methodologies for image processing (68U10) Finite difference methods for boundary value problems involving PDEs (65N06) Optimization problems in thermodynamics and heat transfer (80M50) Finite difference methods applied to problems in thermodynamics and heat transfer (80M20) Numerical methods for ill-posed problems for boundary value problems involving PDEs (65N20) Variational methods applied to problems in thermodynamics and heat transfer (80M30)

Related Items (3)

A parallel operator splitting algorithm for solving constrained total-variation retinex ⋮ Simultaneous image enhancement and restoration with non-convex total variation ⋮ Image retinex based on the nonconvex TV-type regularization

Uses Software

• RecPF

Cites Work

• Unnamed Item
• Nonlinear total variation based noise removal algorithms
• Augmented Lagrangian method for total variation restoration with non-quadratic fidelity
• A unified primal-dual algorithm framework based on Bregman iteration
• Issues about retinex theory and contrast enhancement
• Retinex by higher order total variation \(L^1\) decomposition
• Image recovery via total variation minimization and related problems
• A variational framework for retinex
• A TV Bregman iterative model of Retinex theory
• A combined first and second order variational approach for image reconstruction
• Structure-texture image decomposition -- modeling, algorithms, and parameter selection
• Dual norms and image decomposition models
• A Total Variation Model for Retinex
• A New Alternating Minimization Algorithm for Total Variation Image Reconstruction
• A New Total Variation Method for Multiplicative Noise Removal
• The Split Bregman Method for L1-Regularized Problems
• Augmented Lagrangian Method, Dual Methods, and Split Bregman Iteration for ROF, Vectorial TV, and High Order Models
• The $L_{0}$ Regularized Mumford–Shah Model for Bias Correction and Segmentation of Medical Images
• Non-Local Retinex---A Unifying Framework and Beyond
• A PDE Formalization of Retinex Theory
• Scale Space and PDE Methods in Computer Vision

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