Dual norm based iterative methods for image restoration

DOI10.1007/s10851-011-0318-7zbMath1255.94018OpenAlexW2054608765WikidataQ113106941 ScholiaQ113106941MaRDI QIDQ1932971

Luminita A. Vese, Miyoun Jung, Elena Resmerita

Publication date: 22 January 2013

Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)

Full work available at URL: https://basepub.dauphine.fr/handle/123456789/10575

zbMATH Keywords

inverse problembounded variationiterative regularizationimage restorationproximal point methodinexact Bregman distance

Mathematics Subject Classification ID

Convex programming (90C25) Variational problems in a geometric measure-theoretic setting (49Q20) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Inverse problems in optimal control (49N45)

Related Items (3)

On Hamilton-Jacobi PDEs and image denoising models with certain nonadditive noise ⋮ Multiscale Hierarchical Image Decomposition and Refinements: Qualitative and Quantitative Results ⋮ A partial splitting augmented Lagrangian method for low patch-rank image decomposition

Uses Software

• PLCP
• SQPlab

Cites Work

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