Color Image Restoration by Saturation-Value Total Variation Regularization on Vector Bundles

DOI10.1137/20M1347991OpenAlexW3128955415WikidataQ113079355 ScholiaQ113079355MaRDI QIDQ5860279

Wei Wang, Michael Kwok-Po Ng

Publication date: 19 November 2021

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

Full work available at URL: https://doi.org/10.1137/20m1347991

zbMATH Keywords

total variationregularizationvector bundleimage restorationcolor imagessaturation-value color space

Mathematics Subject Classification ID

Convex programming (90C25) Numerical optimization and variational techniques (65K10) Computing methodologies for image processing (68U10) Numerical solution to inverse problems in abstract spaces (65J22)

Related Items (6)

Tensor completion via fully-connected tensor network decomposition with regularized factors ⋮ A fast operator-splitting method for Beltrami color image denoising ⋮ Saturation-value based higher-order regularization for color image restoration ⋮ A Class of Priors for Color Image Restoration Parameterized by Lie Groups Acting on Pixel Values ⋮ A Learnable Group-Tube Transform Induced Tensor Nuclear Norm and Its Application for Tensor Completion ⋮ DIP-VBTV: A Color Image Restoration Model Combining a Deep Image Prior and a Vector Bundle Total Variation

Uses Software

• BSDS

Cites Work

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• On Covariant Derivatives and Their Applications to Image Regularization
• Color Image Restoration by Saturation-Value Total Variation

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