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Deblurring Images Matrices Spectra and Filtering~tqw~_darksiderg

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Deblurring Images Matrices Spectra and Filtering~tqw~_darksiderg

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Name:Deblurring Images Matrices Spectra and Filtering~tqw~_darksiderg

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INFO
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Title................: Deblurring Images Matrices Spectra and Filtering
Type.................: Ebook
Reader...............: PDF Reader
Size.................: 8.18 MB
Torrent Hash.........: E611D8489BC23BF109DB4A0D420121DBB6B4623D
Posted by............: ~tqw~

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CONTENTS
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Deblurring Images Matrices Spectra and Filtering~tqw~_darksiderg preview 0
Synopsis:
When we use a camera, we want the recorded image to be a faithful
representation of the scene that we see, but every image is more or less
blurry. 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.

Table Of Contents:
Preface ix
How to Get the Software xii
List of Symbols xiii
1 The Image Deblurring Problem 1
2 Manipulating Images in MATLAB 13
3 The Blurring Function 21
4 Structured Matrix Computations 33
5 SVD and Spectral Analysis 55
6 Regularization by Spectral Filtering 71
7 Color Images, Smoothing Norms, and Other Topics 87
Appendix: MATLAB Functions 103
Bibliography 121
Index 127

Product Details:
* ISBN: 0898716187
* ISBN-13: 9780898716184
* Format: Paperback, 130pp
* Publisher: SIAM
* Pub. Date: October 2006

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