A variational image smoothing model with global convergence

DOI10.1007/s11766-004-0004-2zbMath1064.35199OpenAlexW2000589617MaRDI QIDQ1769563

Gui Wang, Zhicheng Guan

Publication date: 4 April 2005

Published in: Applied Mathematics. Series B (English Edition) (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11766-004-0004-2

zbMATH Keywords

energy functionalvariational problemsmoothing methodKachanov methodpreserving local image structures

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Variational methods for second-order elliptic equations (35J20)

Cites Work

• Nonlinear total variation based noise removal algorithms
• Image recovery via total variation minimization and related problems
• Image denoising and segmentation via nonlinear diffusion
• Applied functional analysis. Main principles and their applications
• Image Selective Smoothing and Edge Detection by Nonlinear Diffusion
• Image Selective Smoothing and Edge Detection by Nonlinear Diffusion. II
• On the Convergence of the Lagged Diffusivity Fixed Point Method in Total Variation Image Restoration
• Signal and Image Restoration Using Shock Filters and Anisotropic Diffusion
• Globally convergent iterative numerical schemes for nonlinear variational image smoothing and segmentation on a multiprocessor machine

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