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Numerical analysis of the model of image processing with time-delay regularization
- Source :
- Applied Mathematics and Computation. 166:349-372
- Publication Year :
- 2005
- Publisher :
- Elsevier BV, 2005.
-
Abstract
- In this paper, we present a semi-implicit numerical scheme for the model of image processing with time-delay regularization, and prove its convergence by the related theory of viscosity solution. Based on the principle of contraction mapping and discrete functional analysis, we also establish the iterative convergence in the sense of L"~ norm. Numerical experiments with Gauss-Seidel iterative method of sparse matrix show that, compared with the explicit scheme, our numerical method make denoised image sharper.
- Subjects :
- Numerical linear algebra
Iterative method
Applied Mathematics
Numerical analysis
MathematicsofComputing_NUMERICALANALYSIS
Image processing
computer.software_genre
Computational Mathematics
Norm (mathematics)
Contraction mapping
Gauss–Seidel method
computer
Algorithm
Mathematics
Sparse matrix
Subjects
Details
- ISSN :
- 00963003
- Volume :
- 166
- Database :
- OpenAIRE
- Journal :
- Applied Mathematics and Computation
- Accession number :
- edsair.doi...........6b18bedfe3020a388eadfeaeff15ee60