A two-step mixed inpainting method with curvature-based anisotropy and spatial adaptivity

DOI10.3934/ipi.2017012zbMath1410.94009OpenAlexW2594935118MaRDI QIDQ519556

Francisco J. Ibarrola, Ruben D. Spies

Publication date: 5 April 2017

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

Full work available at URL: https://doi.org/10.3934/ipi.2017012

zbMATH Keywords

regularizationinverse problemsanisotropyill-posednessinpainting

Mathematics Subject Classification ID

Ill-posedness and regularization problems in numerical linear algebra (65F22) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Cites Work

• Nonlinear total variation based noise removal algorithms
• Mixed spatially varying \(L^{2}\)-BV regularization of inverse ill-posed problems
• Variable exponent functionals in image restoration
• Mathematical Models for Local Nontexture Inpaintings
• Analysis of bounded variation penalty methods for ill-posed problems
• Euler's Elastica and Curvature-Based Inpainting
• Bayesian Approach to Inverse Problems
• Convex Analysis

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