Deblurring Images: Matrices, Spectra, and Filtering: 3 (Fundamentals of Algorithms, Series Number 3) - Image 1

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Society for Industrial and Applied Mathematics (SIAM) Deblurring Images: Matrices, Spectra, and Filtering: 3 (Fundamentals of Algorithms, Series Number 3)

Name: Deblurring Images: Matrices, Spectra, and Filtering: 3 (Fundamentals of Algorithms, Series Number 3)
Brand: Society for Industrial and Applied Mathematics (SIAM)

Algorithms

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In image deblurring, the goal is to recover the original, sharp image by using a mathematical model of the blurring process. The key issue is that some information on the lost details is indeed present in the blurred image, but this 'hidden' information can be recovered only if we know the details of the blurring process. 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 MATLAB® implementations described in the book provide a template of techniques that can be used to restore blurred images from many applications.

Product Specifications

Brand: Society for Industrial and Applied Mathematics (SIAM)
Format: paperback
ASIN: 0898716187
Category: Books > Subjects > Computing & Internet > Programming > Algorithms
Domain: Amazon UK
Release Date: 29 March 2007
Listed Since: 30 December 2006

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Society for Industrial and Applied Mathematics (SIAM) Deblurring Images: Matrices, Spectra, and Filtering: 3 (Fundamentals of Algorithms, Series Number 3)

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