Domain decomposition methods in image denoising using Gaussian curvature

A domain decomposition method is used to solve a Gaussian curvature driven flow to denoise digital images. The algorithm is embarrassingly parallel and is ideal for parallel computers. We use the scheme of Lee–Keun [Noise removal based on nonlinear diffusion with Gauss curvature conductance, 2003, P...

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Bibliographic Details
Published in:	Journal of computational and applied mathematics Vol. 193; no. 2; pp. 460 - 473
Main Authors:	Firsov, D., Lui, S.H.
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 01.09.2006 Elsevier
Subjects:	Domain decomposition Exact sciences and technology Gaussian curvature Image restoration Mathematical analysis Mathematics Nonlinear PDEs Numerical analysis Numerical analysis. Scientific computation Partial differential equations Partial differential equations, initial value problems and time-dependant initial-boundary value problems Sciences and techniques of general use 35Q80 Gaussian curvature Image restoration 35R05 Domain decomposition 65M Nonlinear PDEs Parallel algorithm Initial value problem Gauss method Digital image Parallel computer Partial differential equation Denoising Non linear equation Numerical analysis Boundary value problem Applied mathematics Multigrid Diffusion coefficient
ISSN:	0377-0427, 1879-1778
Online Access:	Get full text
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