Ukimura O. (ed.) Image Fusion

InTech, 2011. — 438 p.Multiple imaging modalities can complement each other to provide more information to understand the real worlds of objects than the use of a single modality. Image fusion aims to generate a fused single image which contains more precise reliable visualization of the objects than any source image of them. Such a fused image should provide extended information and better perception for human vision or computerized vision tasks. All source images need to be accurately aligned or spatially registered before fusion. Image fusion has been investigated by many researchers in various fields. Several great works in this decade established the basic principles and sub-specialties evolved and grew. Recent efforts have led to the development of a number of algorithms, performance assessment, processing approaches and promising applications. Image fusion technology has successfully contributed to various fields such as medical diagnosis and navigation, surveillance systems, remote sensing, digitalized cameras, military applications, computer vision, etc. However, there are still challenging issues to be resolved over the broad range of its applications, which include the development of further sophisticated algorithms and associated hardware devices to support more reliable, real-time practical applications.
This book presents various recent advances in research and development in the field of image fusion. This monumental work was created through the diligence and creativity of some of the most accomplished experts in different fields. Many authorities have provided their unique concepts and thoughts herein. To enhance readability, the essential processes of image fusion have been graphically represented in each chapter. It is our hope that our efforts have yielded a comprehensive and practical reference source for image fusion for basic scientists and imaging specialists in diverse fields, and that it will be ultimately beneficial for human use and in robotics to achieve more precise and reliable decision making.Novel Approaches and Algorithms in Image Fusion
F-Transform Based Image Fusion
Image Enhancement and Image Hiding Based on Linear Image Fusion
A Multi Views Approach for Remote Sensing Fusion Based on Spectral, Spatial and Temporal Information
Performance Evaluation of Image Fusion Methods
Estimating 3D Surface Depth Based on Depth-of-Field Image Fusion
EM-based Bayesian Fusion of Hyperspectral and Multispectral images
Pan-sharpening Methods based on ARSIS Concept
Image Fusion Using a Parameterized Logarithmic Image Processing Framework
A Perceptive-oriented Approach to Image Fusion
Image Fusion Based on Multi-directional Multiscale Analysis and Immune Optimization
Image Fusion Based Enhancement of Nondestructive Evaluation Systems
Advanced Application and Utility of Image Fusion Technology
Fusion of Infrared and Visible Images for Robust Person Detection
Remote Sensing Image Fusion for Unsupervised Land Cover Classification
Region-Based Fusion for Infrared and LLL Images
Cognitive Image Fusion and Assessment
Image Fusion Methods for Confocal Scanning Laser Microscopy experimented on Images of Photonic Quantum Ring Laser Devices
Architectures for Image Fusion
Image Fusion for Computer-Assisted Tumor Surgery (CATS)
Multimodal Medical Image Registration and Fusion in 3D Conformal Radiotherapy Treatment Planning
Image-fusion for Biopsy, Intervention, and Surgical Navigation in Urology