Image Fusion

Klappentext The application of sensor technology has brought considerable interest in the area of image fusion. Written by leading experts in the field! this book brings together in one volume the most recent algorithms! design techniques and applications in the topical field of image fusion. The applications are drawn from military! medical and civilian areas and give practical advice and pointers to the development of future applications in a variety of fields. 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. Brings together the latest algorithms! design techniques and applications in the 'hot' area of Image FusionA large number of applications from military! medical and civilian fields give practical advice on how to develop future applications.*A CDROM containing colour representation of the images Zusammenfassung 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. Inhaltsverzeichnis 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...

Zusammenfassung
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.

Inhalt

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