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Título: | A new approach to constrained total least squares image restoration. |
Autor(es): | Ng, Michael K. Plemmons, Robert J. Pimentel, Felipe Rogério |
Palavras-chave: | Constrained total least squares Toeplitz matrix Neumann boundary condition Deconvolution Regularization |
Data do documento: | 2000 |
Referência: | NG, M. K.; PLEMMONS, R.; PIMENTEL, F. R. A new approach to constrained total least squares image restoration. Linear Algebra and its Applications, v. 316, p. 237-258, 2000. Disponível em: <http://www.sciencedirect.com/science/article/pii/S0024379500001154>. Acesso em: 06 mar. 2015. |
Resumo: | Recently there has been a growing interest and progress in using total least squares (TLS) methods for solving blind deconvolution problems arising in image restoration. Here, the true image is to be estimated using only partial information about the blurring operator, or point spread function (PSF), which is subject to error and noise. In this paper, we present a new iterative, regularized, and constrained TLS image restoration algorithm. Neumann boundary conditions are used to reduce the boundary artifacts that normally occur in restoration processes. Preliminary numerical tests are reported on some simulated optical imaging problems in order to illustrate the effectiveness of the approach, as well as the fast convergence of our iterative scheme. |
URI: | http://www.repositorio.ufop.br/handle/123456789/4660 |
DOI: | https://doi.org/10.1016/S0024-3795(00)00115-4 |
ISSN: | 0024-3795 |
Licença: | O periódico Linear Algebra and its Applications concede permissão para depósito do artigo no Repositório Institucional da UFOP. Número da licença: 3581400571799. |
Aparece nas coleções: | DEMAT - Artigos publicados em periódicos |
Arquivos associados a este item:
Arquivo | Descrição | Tamanho | Formato | |
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ARTIGO_NewApproachConstrained.pdf | 296,19 kB | Adobe PDF | Visualizar/Abrir |
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