Please use this identifier to cite or link to this item: http://www.repositorio.ufop.br/jspui/handle/123456789/4660
Title: A new approach to constrained total least squares image restoration.
Authors: Ng, Michael K.
Plemmons, Robert J.
Pimentel, Felipe Rogério
Keywords: Constrained total least squares
Toeplitz matrix
Neumann boundary condition
Deconvolution
Regularization
Issue Date: 2000
Citation: 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.
Abstract: 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
metadata.dc.identifier.doi: https://doi.org/10.1016/S0024-3795(00)00115-4
ISSN: 0024-3795
metadata.dc.rights.license: O periódico Linear Algebra and its Applications concede permissão para depósito do artigo no Repositório Institucional da UFOP. Número da licença: 3581400571799.
Appears in Collections:DEMAT - Artigos publicados em periódicos

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