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Книга Geometrical Multiresolution Adaptive Transforms Agnieszka Lisowska

Geometrical Multiresolution Adaptive Transforms

Theory and Applications

Автор: Agnieszka Lisowska
Език: Английски език
Корици: С меки корици
Издател: Springer International Publishing AG
Наличност: Външен склад в ограничено количество
Изпращаме след 13-18 дни
59.23 € 115.85 лв
Modern image processing techniques are based on multiresolution geometrical methods of image represe...

Информация за книгата

Автор
Agnieszka Lisowska
Език
Английски език
Корици
Книга - С меки корици
Издадена
2016
страници
107
EAN
9783319377148
ISBN
3319377140
Enbook ID
14167150
Издател
Springer International Publishing AG
Теглоt
1942
Размери
155 x 235 x 6

Пълно описание

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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