DIP-VBTV: A Color Image Restoration Model Combining a Deep Image Prior and a Vector Bundle Total Variation

DOI10.1137/20M1378697zbMath1486.94009OpenAlexW3171741791WikidataQ113079354 ScholiaQ113079354MaRDI QIDQ5024387

Gloria Haro, Thomas Batard, Coloma Ballester

Publication date: 31 January 2022

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

Full work available at URL: https://doi.org/10.1137/20m1378697

zbMATH Keywords

neural networkvector bundlevariational modelimage restorationgeometry of vision

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Connections (general theory) (53C05) Numerical solution of inverse problems involving ordinary differential equations (65L09)

Related Items (1)

A Class of Priors for Color Image Restoration Parameterized by Lie Groups Acting on Pixel Values

Uses Software

• DeepRED

Cites Work

• Nonlinear total variation based noise removal algorithms
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• Color Image Restoration by Saturation-Value Total Variation Regularization on Vector Bundles
• Color Image Restoration by Saturation-Value Total Variation

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