Deblurring images : matrices, spectra, and filtering / Per Christian Hansen, James G. Nagy, Dianne P. O'Leary.
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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Other title: | Deblurrinq images. Deblurring Images: Matrices, Spectra and Filtering. |
Format: | eBook |
Language: | English |
Published: |
Philadelphia, Pa. :
Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104),
2006.
[Place of publication not identified] : SIAM Society for Industrial and Applied Mathematics, 2006. |
Series: | Fundamentals of algorithms.
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Subjects: |
MARC
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100 | 1 | |a Hansen, Per Christian. | |
245 | 1 | 0 | |a Deblurring images : |b matrices, spectra, and filtering / |c Per Christian Hansen, James G. Nagy, Dianne P. O'Leary. |
246 | 3 | |a Deblurrinq images. | |
246 | 3 | |a Deblurring Images: Matrices, Spectra and Filtering. | |
260 | |a Philadelphia, Pa. : |b Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104), |c 2006. | ||
264 | 1 | |a [Place of publication not identified] : |b SIAM Society for Industrial and Applied Mathematics, |c 2006. | |
300 | |a 1 electronic resource (xiv, 130 pages) : |b illustrations (some color) | ||
336 | |a text |b txt |2 rdacontent. | ||
337 | |a computer |b c |2 rdamedia. | ||
338 | |a online resource |b cr |2 rdacarrier. | ||
490 | 1 | |a Fundamentals of algorithms. | |
504 | |a Includes bibliographical references (pages 121-125) and index. | ||
505 | 0 | |a The Image Deblurring Problem -- Manipulating Images in MATLAB -- The Blurring Function -- Structured Matrix Computations -- SVD and Spectral Analysis -- Regularization by Spectral Filtering -- Color Images, Smoothing Norms, and Other Topics -- Appendix : MATLAB Functions. | |
520 | 3 | |a 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 MATLABʼ implementations described in the book provide a template of techniques that can be used to restore blurred images from many applications. | |
546 | |a English. | ||
650 | 0 | |a Image processing |x Mathematical models. | |
650 | 7 | |a Image processing |x Mathematical models. |2 fast |0 (OCoLC)fst00967524. | |
700 | 1 | |a Nagy, James G. | |
700 | 1 | |a O'Leary, Dianne P. | |
710 | 2 | |a Society for Industrial and Applied Mathematics. | |
776 | 0 | |z 0898716187. | |
830 | 0 | |a Fundamentals of algorithms. | |
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