Inverse Imaging with Poisson Data: From cells to galaxies

Author:   Mario Bertero (Università di Genova) ,  Dr Patrizia Boccacci (DIBRIS - University of Genova) ,  Dr Valeria Ruggiero (Università degli Studi di Ferrara)
Publisher:   Institute of Physics Publishing
ISBN:  

9780750314381


Pages:   340
Publication Date:   27 December 2018
Format:   Hardback
Availability:   In Print   Availability explained
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Inverse Imaging with Poisson Data: From cells to galaxies


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Overview

Inverse Imaging with Poisson Data is an invaluable resource for graduate students, postdocs and researchers interested in the application of inverse problems to the domains of applied sciences, such as microscopy, medical imaging and astronomy. The purpose of the book is to provide a comprehensive account of the theoretical results, methods and algorithms related to the problem of image reconstruction from Poisson data within the framework of the maximum likelihood approach introduced by Shepp and Vardi.

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Author:   Mario Bertero (Università di Genova) ,  Dr Patrizia Boccacci (DIBRIS - University of Genova) ,  Dr Valeria Ruggiero (Università degli Studi di Ferrara)
Publisher:   Institute of Physics Publishing
Imprint:   Institute of Physics Publishing
Dimensions:   Width: 17.80cm , Height: 2.10cm , Length: 25.40cm
Weight:   0.807kg
ISBN:  

9780750314381


ISBN 10:   0750314389
Pages:   340
Publication Date:   27 December 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1 Introduction 2 Examples of applications 3 Mathematical modeling 4 Statistical approaches in a discrete setting 5 Simple reconstruction methods 6 Optimization methods 7 Numerics 8 Specific topics in image deblurring 9 Towards a regularization theory A Appendix

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Author Information

Mario Bertero received an advanced degree in physics from the University of Genova in Italy in 1960, and he obtained the libera docenza in theoretical physics in 1968. He has professorships in mathematics and computer science and was the editor of Inverse Problems from 1990–1994. He has retired from teaching but not from research. Patrizia Boccacci received her advanced degree in physics from the University of Genova in Italy in 1980. She is currently an associate professor in the Department of Informatics, Bioengineering, Robotics and System Engineering at the University of Genova. Valeria Ruggiero received her advanced degree in mathematics from the University of Ferrara in Italy in 1978. She is a professor in numerical analysis at the University of Ferrara and is the director of the National Group for Scientific Computation of the Istituto Nazionale di Alta Matematica (INdAM).

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