Handbook Of Mathematical Methods In Imaging Volume 2


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Handbook of mathematical methods in imaging, volume 2


Handbook of mathematical methods in imaging, volume 2

Author: Otmar Scherzer

language: en

Publisher:

Release Date: 2015


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Handbook of Mathematical Methods in Imaging


Handbook of Mathematical Methods in Imaging

Author: Otmar Scherzer

language: en

Publisher: Springer Science & Business Media

Release Date: 2010-11-23


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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. 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 150 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.

Handbook of Biomedical Imaging


Handbook of Biomedical Imaging

Author: Nikos Paragios

language: en

Publisher: Springer

Release Date: 2015-03-24


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This book offers a unique guide to the entire chain of biomedical imaging, explaining how image formation is done, and how the most appropriate algorithms are used to address demands and diagnoses. It is an exceptional tool for radiologists, research scientists, senior undergraduate and graduate students in health sciences and engineering, and university professors.