Image fusion : algorithms and applications / edited by Tania Stathaki.
Material type: TextCopyright date: ©2008Edition: First editionDescription: xvii, 500 pages : illustrations ; 25 cmContent type:- text
- unmediated
- volume
- 9780123725295
- 0123725291
- 9780080558523
- 0080558526
- Image processing -- Data processing
- Image processing -- Digital techniques
- Multisensor data fusion
- Traitement d'images -- Informatique
- Traitement d'images -- Techniques numériques
- Fusion multicapteurs
- TECHNOLOGY & ENGINEERING -- Imaging Systems
- Image processing -- Data processing
- Image processing -- Digital techniques
- Multisensor data fusion
- Registrierung Bildverarbeitung
- beeldverwerking
- image processing
- afbeelden
- imagery
- algoritmen
- algorithms
- computeranalyse
- computer analysis
- beeldanalyse
- image analysis
- sensors
- statistiek
- statistics
- remote sensing
- Imaging Technology
- Beeldtechnologie
- 621.367 22
- TA1637 STA
- 53.71
- 54.74
- ST 330
- ZN 6050
Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Books | GSU Library Epoch General Stacks | Non-fiction | TA1637STA (Browse shelf(Opens below)) | Damaged | 50000005325 |
Includes bibliographical references and index.
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 A 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.
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. 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.
Description based on print version record.
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