Image Fusion

The growth in the image of technology and technology. This book brings together classical and modern algorithms and design architectures, demonstrating through applications.

Image Fusion: Algorithms and Applications provides a fusion, demonstration and development in the field of fusion, 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 for design and implementation of fusion algorithms, design architectures and applications.

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

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 Modeling 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