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Handbook of Mathematical Methods in Imaging

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The Handbook of Mathematical Methods in Imaging provides a comprehensive treatment of the mathematical techniques used in imaging science. The material is grouped into two central themes, namely, Inverse Problems (Algorithmic Reconstruction) and Signal and Image Processing. Each section within the themes covers applications (modeling), mathematics, numerical methods (using a case example) and open questions. Written by experts in the area, the presentation is mathematically rigorous.

This expanded and revised second edition contains updates to existing chapters and 16 additional entries on important mathematical methods such as graph cuts, morphology, discrete geometry, PDEs, conformal methods, to name a few. The entries are cross-referenced for easy navigation through connected topics. Available in both print and electronic forms, the handbook is enhanced by more than 200 illustrations and an extended bibliography.

It will benefit students, scientists and researchers in applied mathematics. Engineers and computer scientists working in imaging will also find this handbook useful.

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Availability

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Detail Information

Series Title

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Call Number

510

Publisher

: ., 2015

Collation

XVIII, 2178

Language

English

ISBN/ISSN

978-1-4939-0789-2

Classification

510

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Mathematical Applications

Specific Detail Info

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Statement of Responsibility

Otmar Scherzer editor

Other Information

Cataloger

Khusnun

Source

-

Validator

-

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