A new approach to constrained total least squares image restoration.

Nenhuma Miniatura disponível
Data
2000
Autores
Ng, Michael K.
Plemmons, Robert J.
Pimentel, Felipe Rogério
Título da Revista
ISSN da Revista
Título de Volume
Editor
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.
Descrição
Palavras-chave
Constrained total least squares, Toeplitz matrix, Neumann boundary condition, Deconvolution, Regularization
Citação
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.