A new iterative algorithm for mean curvature-based variational image denoising

DOI10.1007/s10543-013-0448-yzbMath1342.94030OpenAlexW2021420929MaRDI QIDQ398633

Li Sun, Ke Chen

Publication date: 15 August 2014

Published in: BIT (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10543-013-0448-y

zbMATH Keywords

denoisingnonlinear multigridfixed point iteration methodmean curvature-based modelstaircasing effect

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Iterative numerical methods for linear systems (65F10)

Related Items (7)

A Total Fractional-Order Variation Model for Image Restoration with Nonhomogeneous Boundary Conditions and Its Numerical Solution ⋮ Two new preconditioners for mean curvature-based image deblurring problem ⋮ Entropy solutions for an adaptive fourth-order nonlinear degenerate problem for noise removal ⋮ An effective algorithm for mean curvature-based image deblurring problem ⋮ Analysis of the CCFD method for MC-based image denoising problems ⋮ Image denoising using the Gaussian curvature of the image surface ⋮ A fixed-point algorithm for second-order total variation models in image denoising

Uses Software

• Wesseling
• LFA

Cites Work

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