Description
Blind deconvolution is a classical image processing problem which has been investigated by a large number of researchers over the last four decades. The purpose of this monograph is not to propose yet another method for blind image restoration. Rather the basic issue of deconvolvability has been explored from a theoretical view point. Some authors claim very good results while quite a few claim that blind restoration does not work. The authors clearly detail when such methods are expected to work and when they will not.
In order to avoid the assumptions needed for convergence analysis in the Fourier domain, the authors use a general method of convergence analysis used for alternate minimization based on three point and four point properties of the points in the image space. The authors prove that all points in the image space satisfy the three point property and also derive the conditions under which four point property is satisfied. This provides the conditions under which alternate minimization for blind deconvolution converges with a quadratic prior.
Since the convergence properties depend on the chosen priors, one should design priors that avoid trivial solutions. Hence, a sparsity based solution is also provided for blind deconvolution, by using image priors having a cost that increases with the amount of blur, which is another way to prevent trivial solutions in joint estimation. This book will be a highly useful resource to the researchers and academicians in the specific area of blind deconvolution.
LangueenVersionBrochéDate de sortie initiale22 septembre 2016Nombre de pages151IllustrationsNon
Personnes impliquées
Auteur principal
Subhasis Chaudhuri
Deuxième auteur
Rajbabu Velmurugan
Coauteur
Renu Rameshan
Editeur principal
Springer International Publishing Ag
Informations sur le fabricant
Nom du fabricantSpringer Nature Customer Service Center GmbHAdresse du fabricant– 69115 – – DEAdresse électronique du fabricant[email protected]Informations sur le fabricantLes informations du fabricant ne sont actuellement pas disponibles
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Hauteur de l’emballage235 mmLargeur d’emballage155 mmLargeur du produit155 mmLivre d‘étudeNonLongueur d’emballage235 mmLongueur du produit235 mmPoids de l’emballage2642 gPolice de caractères extra largeNonÉditionSoftcover reprint of the original 1st ed. 2014
EAN
EAN9783319352169
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Technologie et architecture
Ordinateurs et Informatique
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