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Image Fusion, 1st Edition

Algorithms and Applications

Image Fusion, 1st Edition,Tania Stathaki,ISBN9780123725295


Academic Press




244 X 172

A complete resource containing in one volume the latest algorithms, design techniques and applications on the ‘hot’ topic of image fusion

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Key Features

* Combines theory and practice to create a unique point of reference
* Contains contributions from leading experts in this rapidly-developing field
* Demonstrates potential uses in military, medical and civilian areas


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.


Academic and industrial researchers and system developers involved in developing military, medical and civilian applications

Tania Stathaki

Affiliations and Expertise

Imperial College, London

Image Fusion, 1st Edition

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 Á 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. Petroviæ

18. Optimal Adaptation of Image Fusion using Objective Performance Metrics
Vladimir Petroviæ and Tim Cootes

19. Performance Evaluation of Image Fusion Techniques
Qiang Wang, Yi Shen and Jing Jin
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