Introduction to Inverse Problems in Imaging

This book PDF is perfect for those who love Technology & Engineering genre, written by M. Bertero and published by CRC Press which was released on 30 August 2020 with total hardcover pages 364. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Introduction to Inverse Problems in Imaging books below.

Introduction to Inverse Problems in Imaging
Author : M. Bertero
File Size : 43,8 Mb
Publisher : CRC Press
Language : English
Release Date : 30 August 2020
ISBN : 9781439822067
Pages : 364 pages
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Introduction to Inverse Problems in Imaging by M. Bertero Book PDF Summary

This is a graduate textbook on the principles of linear inverse problems, methods of their approximate solution, and practical application in imaging. The level of mathematical treatment is kept as low as possible to make the book suitable for a wide range of readers from different backgrounds in science and engineering. Mathematical prerequisites are first courses in analysis, geometry, linear algebra, probability theory, and Fourier analysis. The authors concentrate on presenting easily implementable and fast solution algorithms. With examples and exercises throughout, the book will provide the reader with the appropriate background for a clear understanding of the essence of inverse problems (ill-posedness and its cure) and, consequently, for an intelligent assessment of the rapidly growing literature on these problems.

Introduction to Inverse Problems in Imaging

This is a graduate textbook on the principles of linear inverse problems, methods of their approximate solution, and practical application in imaging. The level of mathematical treatment is kept as low as possible to make the book suitable for a wide range of readers from different backgrounds in science and

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Introduction to Inverse Problems in Imaging

Fully updated throughout and with several new chapters, this second edition of Introduction to Inverse Problems in Imaging guides advanced undergraduate and graduate students in physics, computer science, mathematics and engineering through the principles of linear inverse problems, in addition to methods of their approximate solution and their practical applications

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Introduction to Inverse Problems in Imaging

This is a graduate textbook on the principles of linear inverse problems, methods of their approximate solution, and practical application in imaging. The level of mathematical treatment is kept as low as possible to make the book suitable for a wide range of readers from different backgrounds in science and

Get Book
Modeling and Inverse Problems in Imaging Analysis

More mathematicians have been taking part in the development of digital image processing as a science and the contributions are reflected in the increasingly important role modeling has played solving complex problems. This book is mostly concerned with energy-based models. Most of these models come from industrial projects in which

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Computational Methods for Inverse Problems

Provides a basic understanding of both the underlying mathematics and the computational methods used to solve inverse problems.

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Handbook of Mathematical Methods in Imaging

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

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An Introduction to Data Analysis and Uncertainty Quantification for Inverse Problems

Inverse problems are found in many applications, such as medical imaging, engineering, astronomy, and geophysics, among others. To solve an inverse problem is to recover an object from noisy, usually indirect observations. Solutions to inverse problems are subject to many potential sources of error introduced by approximate mathematical models, regularization

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Inverse Problems and Imaging

Nowadays we are facing numerous and important imaging problems: nondestructive testing of materials, monitoring of industrial processes, enhancement of oil production by efficient reservoir characterization, emerging developments in noninvasive imaging techniques for medical purposes - computerized tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET), X-ray and ultrasound tomography,

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