A new approach to constrained total least squares image restoration.

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorNg, Michael K.-
Autor(es): dc.creatorPlemmons, Robert J.-
Autor(es): dc.creatorPimentel, Felipe-
Data de aceite: dc.date.accessioned2019-11-06T13:32:41Z-
Data de disponibilização: dc.date.available2019-11-06T13:32:41Z-
Data de envio: dc.date.issued2015-03-16-
Data de envio: dc.date.issued2015-03-16-
Data de envio: dc.date.issued2000-
Fonte completa do material: dc.identifierhttp://www.repositorio.ufop.br/handle/123456789/4660-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/557696-
Descrição: dc.descriptionRecently 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.-
Idioma: dc.languageen-
Direitos: dc.rightsO Periódico Linear Algebra and its Applications concede permissão para depósito do artigo no Repositório Institucional da UFOP. Número da licença: 3581400571799.-
Palavras-chave: dc.subjectConstrained total least squares-
Palavras-chave: dc.subjectToeplitz matrix-
Palavras-chave: dc.subjectNeumann boundary condition-
Palavras-chave: dc.subjectDeconvolution-
Palavras-chave: dc.subjectRegularization-
Título: dc.titleA new approach to constrained total least squares image restoration.-
Aparece nas coleções:Repositório Institucional - UFOP

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