portada Geometrical Multiresolution Adaptive Transforms: Theory and Applications (en Inglés)

Geometrical Multiresolution Adaptive Transforms: Theory and Applications (en Inglés)

Formato

Libro Físico

Autor

Agnieszka Lisowska

Editorial

Springer

Idioma

Inglés

N° páginas

107

Encuadernación

Tapa Dura

Dimensiones

23.4x15.2x1.3 cm

Peso

0.32 kg.

ISBN13

9783319050102

Categorías

Ciencia y análisis de datos: generalidades
Matemáticas aplicadas
Aplicaciones gráficas y multimedia
Análisis y captura de datos

Geometrical Multiresolution Adaptive Transforms: Theory and Applications (en Inglés)

Agnieszka Lisowska (Autor) · Springer · Tapa Dura

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Reseña del libro "Geometrical Multiresolution Adaptive Transforms: Theory and Applications (en Inglés)"

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.