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 | IMAGE FUSION
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Algorithms and Applications
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By
Tania Stathaki, Imperial College, London
Description
The growth in the use of sensor technology has led to the demand for image fusion: signal processing techniques that can combine information
received from different sensors into a single composite image in an efficient and reliable manner. This book brings together classical
and modern algorithms and design architectures, demonstrating through applications how these can be implemented.
Image Fusion:
Algorithms and Applications provides a representative collection of the recent advances in research and development in the field
of image fusion, demonstrating both spatial domain and transform domain fusion methods including Bayesian methods, statistical approaches,
ICA and wavelet domain techniques. It also includes valuable material on image mosaics, remote sensing applications and performance evaluation.
This book will be an invaluable resource to R&D engineers, academic researchers and system developers requiring the most up-to-date
and complete information on image fusion algorithms, design architectures and applications.
Audience
Academic and industrial researchers and system developers involved in developing military, medical and civilian applications
Contents
1. Current Trends in Super-Resolution Image Reconstruction
Antonis Katartzis and Maria Petrou
2. Image Fusion through Multiresolution
Oversampled Decompositions
Bruno Aiazzi, Stefano Baronti and Massimo Selva
3. Multisensor and Multiresolution Image Fusion using the
Linear Mixing Model
Jan G.P.W. Clevers and Raul Zurita-Milla
4. Image Fusion Schemes using ICA Bases
Nikolaos Mitianoudis and Tania
Stathaki
5. Statistical Modelling for Wavelet-Domain Image Fusion
Alin Achim, Artur Loza, David Bull and Nishan Canagarajah
6. Theory
and Implementation of Image Fusion Methods Based on the Trous Algorithm
Xavier Otazu
7. Bayesian Methods for Image Fusion
Jurgen
Beyerer, Michael Heizmann, Jennifer Sander and Ioana Gheta
8. Multidimensional Fusion by Image Mosaics
Yoav Y. Schechner and Shree K.
Nayar
9. Fusion of Multispectral and Panchromatic Images as an Optimization Problem
Andrea Garzelli, Luca Capobianco and Filippo Nencini
10. Image Fusion using Optimization of Statistical Measurements
Laurent Oudre, Tania Stathaki and Nikolaos Mitianoudis
11. Fusion of
Edge Maps using Statistical Approaches
Stamatia Giannarou and Tania Stathaki
12. Enhancement of Multiple Sensor Images using Joint Image
Fusion and Blind Restoration
Nikolaos Mitianoudis and Tania Stathaki
13. Empirical Mode Decomposition for Simultaneous Image Enhancement
and Fusion
David Looney and Danilo P. Mandic
14. Region Based Multi-Focus Image Fusion
Shutao Li and Bin Yang
15. Image Fusion Techniques
for Non Destructive Testing and Remote Sensing Applications
F.C. Morabito, G. Simone and M. Cacciola
16. Concepts of Image Fusion in
Remote Sensing Applications
Pushkar Pradham, Nicolas H. Younan and Roger L. King
17. Pixel-Level Image Fusion Metrics
C. Xydeas and
Dr. V. Petrovi
18. Optimal Adaptation of Image Fusion using Objective Performance Metrics
Vladimir Petrovi and Tim Cootes
19. Performance
Evaluation of Image Fusion Techniques
Qiang Wang, Yi Shen and Jing Jin
| Bibliographic details |
Hardbound, 520 pages, publication date: JUN-2008
ISBN-13: 978-0-12-372529-5
ISBN-10: 0-12-372529-1
Imprint: ACADEMIC PRESS
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| Price and Ordering |
Price:
GBP 78.99 EUR 92.95 USD 130
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Last update: 25 Nov 2009
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