The purpose of this book is to provide a practical introduction to the th-ries, techniques and
applications of image fusion. The present work has been designed as a textbook for a one …

Image fusion can be performed at different levels: signal, pixel, feature and symbol levels.
Almost all image fusion algorithms developed to date fall into pixel level. This paper …

The idea of combining multiple image modalities to provide a single, enhanced picture
offering added value to the observer or processor is well established, but the technology to …

Image fusion performance evaluation methods form an essential part in the development of
image fusion techniques. This chapter discusses various performance evaluation measures …

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 …

Taking another lesson from nature, the latest advances in image processing technology
seek to combine image data from several diverse types of sensors in order to obtain a more …

This volume contains revised papers based on contributions to the NATO Advanced
Research Workshop on Multisensor Fusion for Computer Vision, held in Grenoble, France …

This paper addresses the issue of objectively measuring the performance of pixel level
image fusion systems. The proposed fusion performance metric models the accuracy with …

This book establishes the fundamentals (particularly definitions and architectures) in data
fusion. The second part of the book is devoted to methods for the fusion of images. It offers …

Pixel-level image fusion has been applied in a variety of applications, including multi-modal
medical imaging, remote sensing, industrial inspection, video surveillance, and night vision …