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Multi-Sensor Image Fusion and Its Applications

Edited by Rick S. Blum, Zheng Liu

Contributors: Jacqueline Le Moigne, Anil K. Jain, Pramod K. Varshney, France Laliberte, Xavier Pennec, Robert A. Weisenseel, Huzefa Neemuchwala, Alexander Toet, Jizhong Yang, Alexandre Jouan, Lalita Udpa, Filip Sroubek, Stavri G. Nikolov, Kalpana Seshadrinathan, Alan Conrad Bovik, Alfred O. Hero, Zhiyun Xue, Zhong Zhang, Hua-mei Chen, Langis Gagnon, Nicholas Ayache, Pascal Cathier, Alexis Roche, Raymond C. Chan, William C. Karl, Arun Abraham Ross, Yannick Allard, Yves Marcoz, Roger D. Eastman, Satish Udpa, Antonello Tamburrino, David S. Forsyth, Jerzy P. Komorowski, Jan Flusser, David R. Bull, C. N. Canagarajah, Michael G. Jones, Iain Gilchrist

Published July 28th 2005 by CRC Press – 528 pages

Series: Signal Processing and Communications

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Description

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 accurate view of the scene: very much the same as we rely on our five senses. Multi-Sensor Image Fusion and Its Applications is the first text dedicated to the theory and practice of the registration and fusion of image data, covering such approaches as statistical methods, color-related techniques, model-based methods, and visual information display strategies.

After a review of state-of-the-art image fusion techniques, the book provides an overview of fusion algorithms and fusion performance evaluation. The following chapters explore recent progress and practical applications of the proposed techniques to solving problems in such areas as medical diagnosis, surveillance and biometric systems, remote sensing, nondestructive evaluation, blurred image restoration, and image quality assessment. Recognized leaders from industry and academia contribute the chapters, reflecting the latest research trends and providing useful algorithms to aid implementation.

Supplying a 28-page full-color insert, Multi-Sensor Image Fusion and Its Applications clearly demonstrates the benefits and possibilities of this revolutionary development. It provides a solid knowledge base for applying these cutting-edge techniques to new challenges and creating future advances.

Contents

Preface

AN OVERVIEW OF IMAGE FUSION

Rick S. Blum, Zhiyun Xue, and Zhong Zhang

MUTUAL INFORMATION BASED IMAGE REGISTRATION WITH APPLICATION TO 3D MEDICAL BRAIN IMAGERY

Hua-Mei Chen and Pramod K. Varshney

STUDIES IN REGISTRATION AND FUSION OF RETINAL IMAGES

France Laliberté and Langis Gagnon

NONRIGID MR/US REGISTRATION FOR TRACKING BRAIN DEFORMATIONS

Xavier Pennec, Nicholas Ayache, Alexis Roche, and Pascal Cathier

MULTISENSOR DATA INVERSION AND FUSION BASED ON SHARED IMAGE STRUCTURE

Robert A. Weisenseel, William C. Karl, and Raymond C. Chan

ENTROPIC GRAPHS FOR REGISTRATION

Huzefa Neemuchwala and Alfred Hero

FUSION OF IMAGES FROM DIFFERENT ELECTRO-OPTICAL SENSING MODALITIES FOR SURVEILLANCE AND NAVIGATION TASKS

Alexander Toet

A STATISTICAL SIGNAL PROCESSING APPROACH TO IMAGE FUSION USING HIDDEN MARKOV MODELS

Jinzhong Yang and Rick S. Blum

MULTIMODAL HUMAN RECOGNITION SYSTEMS

Arun Ross and Anil K. Jain

CHANGE DETECTION/INTERPRETATION WITH EVIDENTIAL FUSION OF CONTEXTUAL ATTRIBUTES: APPLICATIONS TO MULTIPASS RADARSAT-1 DATA

Alexandre Jouan, Yannick Allard, and Yves Marcoz

MULTISENSOR REGISTRATION FOR EARTH REMOTELY SENSED IMAGERY

Jacqueline Le Moigne and Roger Eastman

SYSTEM AND MODEL-BASED APPROACHES TO DATA FUSION FOR NDE APPLICATIONS

Lalita Udpa, Satish Udpa, and Antonello Tamburrino

FUSION OF MULTIMODAL NDI IMAGES FOR AIRCRAFT CORROSION DETECTION AND QUANTIFICATION

Zheng Liu, David S. Forsyth, and Jerzy P. Komorowski

FUSION OF BLURRED IMAGES

Filip ?Sroubek and Jan Flusser

GAZE-CONTINGENT MULTIMODALITY DISPLAYS FOR VISUAL INFORMATION FUSION: SYSTEMS AND APPLICATIONS

Stavri Nikolov, Michael Jones, Iain Gilchrist, David Bull, and Nishan Canagarajah

STRUCTURAL AND INFORMATION THEORETIC APPROACHES TO IMAGE QUALITY ASSESSMENT

Kalpana Seshadrinathan, Hamid R. Sheikh, Alan C. Bovik, and Zhou Wang

Name: Multi-Sensor Image Fusion and Its Applications (Hardback) – CRC Press 
Description: Edited by Rick S. Blum, Zheng LiuContributors: Jacqueline Le Moigne, Anil K. Jain, Pramod K. Varshney, France Laliberte, Xavier Pennec, Robert A. Weisenseel, Huzefa Neemuchwala, Alexander Toet, Jizhong Yang, Alexandre Jouan, Lalita Udpa, Filip Sroubek, Stavri G. Nikolov, Kalpana Seshadrinathan, Alan Conrad Bovik, Alfred O. Hero, Zhiyun Xue, Zhong Zhang, Hua-mei Chen, Langis Gagnon, Nicholas Ayache, Pascal Cathier, Alexis Roche, Raymond C. Chan, William C. Karl, Arun Abraham Ross, Yannick Allard, Yves Marcoz, Roger D. Eastman, Satish Udpa, Antonello Tamburrino, David S. Forsyth, Jerzy P. Komorowski, Jan Flusser, David R. Bull, C. N. Canagarajah, Michael G. Jones, Iain Gilchrist. 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 accurate view of the scene: very much the same as we rely on our five senses...
Categories: Digital Signal Processing, Image Processing