Image Processing and Data Analysis: The Multiscale Approach

An introduction to a range of techniques for the analysis of digital data, especially the manipulation of images. Contains real-world examples in astronomy, electrical engineering, physics, geophysics and medical imaging.

**Tag(s):**
Signal Processing

**Publication date**: 01 Jul 1998

**ISBN-10**:
0521599148

**ISBN-13**:
978-052159914

**Paperback**:
315 pages

**Views**: 21,444

Image Processing and Data Analysis: The Multiscale Approach

An introduction to a range of techniques for the analysis of digital data, especially the manipulation of images. Contains real-world examples in astronomy, electrical engineering, physics, geophysics and medical imaging.

Book Excerpts:

Number of techniques have been developed in recent years for the analysis of digital data, especially the manipulation of images. This book provides an in-depth introduction to a range of these data-processing techniques. It develops the reader's understanding of each technique and then shows with practical examples how they can be applied to improve the skills of graduate students and researchers in astronomy, electrical engineering, physics, geophysics and medical imaging.

What sets this book apart from others on the subject is the complementary blend of theory and practical application. Throughout, the book is illustrated with real-world examples from astronomy, electrical engineering, remote sensing and medicine. It also shows how many, more traditional, methods can be enhanced by incorporating the wavelet and multiscale methods into the processing.

For graduate students and researchers already experienced in image processing and data analysis, this book provides a guide to a wide range of data-analysis techniques.

Review(s):

Amazon.com

:( "Despite the claims that the book is aimed at applications, there are few real examples. In the case of noise modeling and noise filtering there are none."

:) "It has the only clear exposition of 2-D non-separable and a trous wavelet methods that I have found anywhere."

Number of techniques have been developed in recent years for the analysis of digital data, especially the manipulation of images. This book provides an in-depth introduction to a range of these data-processing techniques. It develops the reader's understanding of each technique and then shows with practical examples how they can be applied to improve the skills of graduate students and researchers in astronomy, electrical engineering, physics, geophysics and medical imaging.

What sets this book apart from others on the subject is the complementary blend of theory and practical application. Throughout, the book is illustrated with real-world examples from astronomy, electrical engineering, remote sensing and medicine. It also shows how many, more traditional, methods can be enhanced by incorporating the wavelet and multiscale methods into the processing.

For graduate students and researchers already experienced in image processing and data analysis, this book provides a guide to a wide range of data-analysis techniques.

Review(s):

Amazon.com

:( "Despite the claims that the book is aimed at applications, there are few real examples. In the case of noise modeling and noise filtering there are none."

:) "It has the only clear exposition of 2-D non-separable and a trous wavelet methods that I have found anywhere."

Tweet

About The Author(s)

Albert Bijaoui is a senior astronomer at the Observatoire de la Côte d'Azur. His scientific activities have revolved around data analysis in astronomy. He was previously involved in several Gaia working groups (imaging, radial velocity spectrometer). Now, he participates in CU8: Astrophysical Parameters. Albert is also the Scientist in Charge for the Observatoire de la Côte d'Azur within the ELSA (European Leadership in Astrometry) programme.

Fionn D. Murtagh is Professor of Data Science, and Director, Centre for Mathematics and Data Science, University of Huddersfield. He was formerly Professor of Data Science, Big Data Lab, Department of Computing and Mathematics, University of Derby and Visiting Professor of Data Science, Department of Computing, Goldsmiths University of London. His research includes digital content analytics; computational science, high performance search and discovery in massive, high dimensional information spaces, and image and signal processing.

Jean-Luc Starck is Director of Research and head of the CosmoStat laboratory at the Institute of Research into the Fundamental Laws of the Universe, Service d'Astrophysique, CEA-Saclay, France. Jean-Luc Starck has a Ph.D from Nice Observatory and an Habilitation from University Paris XI. He was a visitor at the European Southern Observatory in 1993, at UCLA in 2004 and at Stanford’s Department of Statistics in 2000 and 2005. Since 1994, he is a tenured researcher at CEA. He created in 2010 the CosmoStat laboratory and is strongly involved in the Euclid ESA space mission. He received the EADS prize of the French Academy of Science in 2011.

Book Categories

Computer Science
Introduction to Computer Science
Introduction to Computer Programming
Algorithms and Data Structures
Artificial Intelligence
Computer Vision
Machine Learning
Neural Networks
Game Development and Multimedia
Data Communication and Networks
Coding Theory
Computer Security
Information Security
Cryptography
Information Theory
Computer Organization and Architecture
Operating Systems
Image Processing
Parallel Computing
Concurrent Programming
Relational Database
Document-oriented Database
Data Mining
Big Data
Data Science
Digital Libraries
Compiler Design and Construction
Functional Programming
Logic Programming
Object Oriented Programming
Formal Methods
Software Engineering
Agile Software Development
Information Systems
Geographic Information System (GIS)

Mathematics
Mathematics
Algebra
Abstract Algebra
Linear Algebra
Number Theory
Numerical Methods
Precalculus
Calculus
Differential Equations
Category Theory
Proofs
Discrete Mathematics
Theory of Computation
Graph Theory
Real Analysis
Complex Analysis
Probability
Statistics
Game Theory
Queueing Theory
Operations Research
Computer Aided Mathematics

Supporting Fields
Web Design and Development
Mobile App Design and Development
System Administration
Cloud Computing
Electric Circuits
Embedded System
Signal Processing
Integration and Automation
Network Science
Project Management

Operating System
Programming/Scripting
Ada
Assembly
C / C++
Common Lisp
Forth
Java
JavaScript
Lua
Rexx
Microsoft .NET
Perl
PHP
R
Python
Rebol
Ruby
Scheme
Tcl/Tk

Miscellaneous
Sponsors