Deblurring images: matrices, spectra, and filtering

Describes the deblurring algorithms and techniques collectively known as spectral filtering methods, in which the singular value decomposition, or a similar decomposition with spectral properties, is used to introduce the necessary regularization or filtering in the reconstructed image. The concise...

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Bibliographic Details
Main Authors: Hansen, Per Christian 1957- (Author), Nagy, James G. (Author), O'Leary, Dianne (Author)
Format: Electronic eBook
Language:English
Published: Philadelphia, Pa. Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104) [2006]
Series:Fundamentals of algorithms 3
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Summary:Describes the deblurring algorithms and techniques collectively known as spectral filtering methods, in which the singular value decomposition, or a similar decomposition with spectral properties, is used to introduce the necessary regularization or filtering in the reconstructed image. The concise MATLAB implementations described in the book provide a template of techniques that can be used to restore blurred images from many applications
Physical Description:1 Online-Ressource (xiv, 130 Seiten) Illustrationen
ISBN:9780898718874
DOI:10.1137/1.9780898718874

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