Geometrical Multiresolution Adaptive Transforms: Theory and Applications - Couverture souple

Lisowska, Agnieszka

9783319377148: Geometrical Multiresolution Adaptive Transforms: Theory and Applications

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ISBN 10 : 3319377140 ISBN 13 : 9783319377148

Editeur : Springer, 2016

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Modern image processing techniques are based on multiresolution geometrical methods of image representation. These methods are efficient in sparse approximation of digital images. There is a wide family of functions called simply ‘X-lets’, and these methods can be divided into two groups: the adaptive and the nonadaptive. This book is devoted to the adaptive methods of image approximation, especially to multismoothlets.

Besides multismoothlets, several other new ideas are also covered. Current literature considers the black and white images with smooth horizon function as the model for sparse approximation but here, the class of blurred multihorizon is introduced, which is then used in the approximation of images with multiedges. Additionally, the semi-anisotropic model of multiedge representation, the introduction of the shift invariant multismoothlet transform and sliding multismoothlets are also covered.

Geometrical Multiresolution Adaptive Transforms should be accessible to both mathematicians and computer scientists. It is suitable as a professional reference for students, researchers and engineers, containing many open problems and will be an excellent starting point for those who are beginning new research in the area or who want to use geometrical multiresolution adaptive methods in image processing, analysis or compression.

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� propos de l?auteur

Agnieszka Lisowska is an assistant professor at the Institute of Computer Science, University of Silesia, where in 2006 she obtained her PhD with distinctions in the area of geometrical wavelets in Computer Science. In 2001 she completed her MSc in Mathematics at the same university. Her scientific research is concentrated on sparse representations and geometrical multiresolution methods of image processing. She invented smoothlets and multismoothlets, and the fast methods of their computations. She is the author of several journal and conference papers published among others by Springer, Elsevier or IEEE.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteurSpringer
Date d'�dition2016
ISBN 10 3319377140
ISBN 13 9783319377148
ReliureBroch�
Langueanglais
Nombre de pages120
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9783319050102: Geometrical Multiresolution Adaptive Transforms: Theory and Applications

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Geometrical Multiresolution Adaptive Transforms

Agnieszka Lisowska

Edit� par Springer International Publishing, 2016

ISBN 10 : 3319377140 ISBN 13 : 9783319377148

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents the recent state-of-the-art of geometrical multiresolution methods leading to sparse image representationsProvides many open problems in the area of geometrical multiresolution methods of image approximationIncludes competitive app. N� de r�f. du vendeur 458605173

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Geometrical Multiresolution Adaptive Transforms

Agnieszka Lisowska

Edit� par Berlin Springer International Publishing Springer Sep 2016, 2016

ISBN 10 : 3319377140 ISBN 13 : 9783319377148

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Modern image processing techniques are based on multiresolution geometrical methods of image representation. These methods are efficient in sparse approximation of digital images. There is a wide family of functions called simply 'X-lets', and these methods can be divided into two groups: the adaptive and the nonadaptive. This book is devoted to the adaptive methods of image approximation, especially to multismoothlets.Besides multismoothlets, several other new ideas are also covered. Current literature considers the black and white images with smooth horizon function as the model for sparse approximation but here, the class of blurred multihorizon is introduced, which is then used in the approximation of images with multiedges. Additionally, the semi-anisotropic model of multiedge representation, the introduction of the shift invariant multismoothlet transform and sliding multismoothlets are also covered.Geometrical Multiresolution Adaptive Transforms should be accessible to both mathematicians and computer scientists. It is suitable as a professional reference for students, researchers and engineers, containing many open problems and will be an excellent starting point for those who are beginning new research in the area or who want to use geometrical multiresolution adaptive methods in image processing, analysis or compression. 107 pp. Englisch. N� de r�f. du vendeur 9783319377148

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Geometrical Multiresolution Adaptive Transforms: Theory and Applications (Studies in Computational Intelligence, 545)

Lisowska, Agnieszka

Edit� par Springer, 2016

ISBN 10 : 3319377140 ISBN 13 : 9783319377148

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Geometrical Multiresolution Adaptive Transforms : Theory and Applications

Agnieszka Lisowska

Edit� par Springer, Berlin, Springer International Publishing, Springer, 2016

ISBN 10 : 3319377140 ISBN 13 : 9783319377148

Neuf Taschenbuch

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Modern image processing techniques are based on multiresolution geometrical methods of image representation. These methods are efficient in sparse approximation of digital images. There is a wide family of functions called simply 'X-lets', and these methods can be divided into two groups: the adaptive and the nonadaptive. This book is devoted to the adaptive methods of image approximation, especially to multismoothlets.Besides multismoothlets, several other new ideas are also covered. Current literature considers the black and white images with smooth horizon function as the model for sparse approximation but here, the class of blurred multihorizon is introduced, which is then used in the approximation of images with multiedges. Additionally, the semi-anisotropic model of multiedge representation, the introduction of the shift invariant multismoothlet transform and sliding multismoothlets are also covered.Geometrical Multiresolution Adaptive Transforms should be accessible to both mathematicians and computer scientists. It is suitable as a professional reference for students, researchers and engineers, containing many open problems and will be an excellent starting point for those who are beginning new research in the area or who want to use geometrical multiresolution adaptive methods in image processing, analysis or compression. N� de r�f. du vendeur 9783319377148

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