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Image Fusion
Algorithms and Applications
A complete resource containing in one volume the latest algorithms, design techniques and applications on the ‘hot’ topic of image fusion
Tania Stathaki (Author)
9780123725295, Elsevier Science
Hardback, published 5 June 2008
520 pages
24.4 x 17.1 x 3.1 cm, 1.15 kg
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.
Current Trends in Super-Resolution Image Reconstruction
Image Fusion through Multiresolution Oversampled Decompositions
Multisensor and Multiresolution Image Fusion using the Linear Mixing Model
Image Fusion Schemes using ICA Bases
Statistical Modelling for Wavelet-Domain Image Fusion
Theory and Implementation of Image Fusion Methods Based on the Á Trous Algorithm
Bayesian Methods for Image Fusion
Multidimensional Fusion by Image Mosaics
Fusion of Multispectral and Panchromatic Images as an Optimization Problem
Image Fusion using Optimization of Statistical Measurements
Fusion of Edge Maps using Statistical Approaches
Enhancement of Multiple Sensor Images using Joint Image Fusion and Blind Restoration
Empirical Mode Decomposition for Simultaneous Image Enhancement and Fusion
Region Based Multi-Focus Image Fusion
Image Fusion Techniques for Non Destructive Testing and Remote Sensing Applications
Concepts of Image Fusion in Remote Sensing Applications
Pixel-Level Image Fusion Metrics
Optimal Adaptation of Image Fusion using Objective Performance Metrics
Performance Evaluation of Image Fusion Techniques
Subject Areas: Image processing [UYT], Signal processing [UYS], Applied optics [TTB], Communications engineering / telecommunications [TJK], Electronics engineering [TJF], Electronics & communications engineering [TJ], Electrical engineering [THR], Technology: general issues [TB], Electricity, electromagnetism & magnetism [PHK]
