Name: Mathematics in Image Processing (en Inglés)
SKU: 67465248
Price: 171170.00 CLP
Availability: InStock
Author: Hongkai Zhao
ISBN: 9780821898413

portada Mathematics in Image Processing (en Inglés)

Mathematics in Image Processing (en Inglés)

Formato

Libro Físico

Editorial

American Mathematical Society

Autor

Hongkai Zhao

Colección

IAS/Park City Mathematics Series

Año

2013

Idioma

Inglés

N° páginas

245

Encuadernación

Tapa Dura

ISBN13

9780821898413

Mathematics in Image Processing (en Inglés)

Hongkai Zhao (Autor) · American Mathematical Society · Tapa Dura

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Reseña del libro "Mathematics in Image Processing (en Inglés)"

The theme of the 2010 PCMI Summer School was Mathematics in Image Processing in a broad sense, including mathematical theory, analysis, computation algorithms and applications. This volume collects three self-contained lecture series. The topics are multi-resolution based wavelet frames and applications to image processing, sparse and redundant representation modelling of images and simulation of elasticity, biomechanics, and virtual surgery. Recent advances in image processing, compressed sensing and sparse representation are discussed.

The theme of the 2010 PCMI Summer School was Mathematics in Image Processing in a broad sense, including mathematical theory, analysis, computation algorithms and applications. In image processing, information needs to be processed, extracted and analysed from visual content, such as photographs or videos. These demands include standard tasks such as compression and denoising, as well as high-level understanding and analysis, such as recognition and classification. Centred on the theme of mathematics in image processing, the summer school covered quite a wide spectrum of topics in this field. The summer school is particularly timely and exciting due to the very recent advances and developments in the mathematical theory and computational methods for sparse representation.

This volume collects three self-contained lecture series. The topics are multi-resolution based wavelet frames and applications to image processing, sparse and redundant representation modelling of images and simulation of elasticity, biomechanics, and virtual surgery. Recent advances in image processing, compressed sensing and sparse representation are discussed.