Deflated Preconditioned Conjugate Gradients for Nonlinear Diffusion Image Enhancement

DOI10.1007/978-3-030-55874-1_45zbMath1471.94003OpenAlexW3159657562MaRDI QIDQ5152838

Martin B. van Gijzen, Xiujie Shan

Publication date: 27 September 2021

Published in: Lecture Notes in Computational Science and Engineering (Search for Journal in Brave)

Full work available at URL: http://resolver.tudelft.nl/uuid:a192b305-615e-4aa0-aaa2-a37e94f83e0f

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Numerical methods for inverse problems for integral equations (65R32) Numerical solution of discretized equations for initial value and initial-boundary value problems involving PDEs (65M22)

Related Items (2)

Parareal method for anisotropic diffusion denoising ⋮ Deflated preconditioned conjugate gradient methods for noise filtering of low-field MR images

Cites Work

• An efficient preconditioned CG method for the solution of a class of layered problems with extreme contrasts in the coefficients
• Deflation of Conjugate Gradients with Applications to Boundary Value Problems
• Image Selective Smoothing and Edge Detection by Nonlinear Diffusion
• Image Processing and Analysis
• Methods of conjugate gradients for solving linear systems

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