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Deblurring Images Matrices Spectra and Filtering Hansen Nagy OLeary by Per Christian Hansen, James G. Nagy, Dianne P. O'Leary is a nonfiction available to read on EtoBox.

What is Deblurring Images Matrices Spectra and Filtering Hansen Nagy OLeary about?

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.

Who reads Deblurring Images Matrices Spectra and Filtering Hansen Nagy OLeary?

Author

Per Christian Hansen, James G. Nagy, Dianne P. O'Leary

Publisher

SIAM, Society for Industrial and Applied Mathematics

Published

2007

Language

EN

ISBN

9780898716184

Category

nonfiction

Subjects

Engineering, Mathematics, Computer Science

Rating

4.6 / 5 (6 ratings)

Updated

2026-03-14