Analysis of the CCFD method for MC-based image denoising problems

DOI10.1553/etna_vol54s108OpenAlexW3120098239MaRDI QIDQ2228459

F. Fairag, Ke Chen, Shahbaz Ahmad

Publication date: 17 February 2021

Published in: ETNA. Electronic Transactions on Numerical Analysis (Search for Journal in Brave)

Full work available at URL: http://etna.mcs.kent.edu/volumes/2021-2030/vol54/abstract.php?vol=54&pages=108-127

zbMATH Keywords

mean curvatureimage denoisingnumerical analysiscell-centered finite difference method

Mathematics Subject Classification ID

Stability and convergence of numerical methods for boundary value problems involving PDEs (65N12) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Finite difference methods for boundary value problems involving PDEs (65N06)

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Two new preconditioners for mean curvature-based image deblurring problem ⋮ An effective algorithm for mean curvature-based image deblurring problem

Cites Work

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• A Block-Centered Finite Difference Method for the Darcy--Forchheimer Model
• A relaxed fixed point method for a mean curvature-based denoising model
• Multigrid Algorithm for High Order Denoising

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