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Deblurring Images Matrices Spectra And Filtering-Hansen-Nagy-Oleary Empty Deblurring Images Matrices Spectra And Filtering-Hansen-Nagy-Oleary

Vie Sep 25, 2020 4:18 pm

Deblurring Images Matrices Spectra And Filtering-Hansen-Nagy-Oleary Deblurring.images.maty0jn3


Deblurring Images Matrices Spectra And Filtering-Hansen-Nagy-Oleary
pdf | 8.19 MB | : English | Isbn:978-0898716184 | Author: Per Christian Hansen | PAge: 145 | Year: 2006



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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.


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