December 3, 2020

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Image Fusion

Image Fusion
Author : Tania Stathaki
Publisher : Elsevier
Release Date : 2011-08-29
Category : Computers
Total pages :520
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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

Image Fusion

Image Fusion
Author : Gang Xiao
Publisher : Springer Nature
Release Date : 2020
Category :
Total pages :129
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Image Fusion

Image Fusion
Author : H.B. Mitchell
Publisher : Springer Science & Business Media
Release Date : 2010-03-16
Category : Technology & Engineering
Total pages :247
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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-semester ?nal-year undergraduate, or ?r- year graduate, course in image fusion. It should also be useful to practising engineers who wish to learn the concepts of image fusion and apply them to practical applications. In addition, the book may also be used as a supp- mentary text for a graduate course on topics in advanced image processing. The book complements the author’s previous work on multi-sensor data [1] fusion by concentrating exclusively on the theories, techniques and app- cations of image fusion. The book is intended to be self-contained in so far as the subject of image fusion is concerned, although some prior exposure to the ?eld of computer vision and image processing may be helpful to the reader. Apart from two preliminary chapters, the book is divided into three parts.

Image Fusion

Image Fusion
Author : Osamu Ukimura
Publisher : BoD – Books on Demand
Release Date : 2011-01-12
Category : Computers
Total pages :440
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Image fusion technology has successfully contributed to various fields such as medical diagnosis and navigation, surveillance systems, remote sensing, digital cameras, military applications, computer vision, etc. Image fusion aims to generate a fused single image which contains more precise reliable visualization of the objects than any source image of them. This book presents various recent advances in research and development in the field of image fusion. It has been created through the diligence and creativity of some of the most accomplished experts in various fields.

Remote Sensing Image Fusion

Remote Sensing Image Fusion
Author : Christine Pohl,John van Genderen
Publisher : CRC Press
Release Date : 2016-10-03
Category : Technology & Engineering
Total pages :266
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Remote Sensing Image Fusion: A Practical Guide gives an introduction to remote sensing image fusion providing an overview on the sensors and applications. It describes data selection, application requirements and the choice of a suitable image fusion technique. It comprises a diverse selection of successful image fusion cases that are relevant to other users and other areas of interest around the world. The book helps newcomers to obtain a quick start into the practical value and benefits of multi-sensor image fusion. Experts will find this book useful to obtain an overview on the state of the art and understand current constraints that need to be solved in future research efforts. For industry professionals the book can be a great introduction and basis to understand multisensor remote sensing image exploitation and the development of commercialized image fusion software from a practical perspective. The book concludes with a chapter on current trends and future developments in remote sensing image fusion. Along with the book, RSIF website provides additional up-to-date information in the field.

Hyperspectral Image Fusion

Hyperspectral Image Fusion
Author : Subhasis Chaudhuri,Ketan Kotwal
Publisher : Springer Science & Business Media
Release Date : 2013-05-25
Category : Computers
Total pages :191
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Hyperspectral Image Fusion is the first text dedicated to the fusion techniques for such a huge volume of data consisting of a very large number of images. This monograph brings out recent advances in the research in the area of visualization of hyperspectral data. It provides a set of pixel-based fusion techniques, each of which is based on a different framework and has its own advantages and disadvantages. The techniques are presented with complete details so that practitioners can easily implement them. It is also demonstrated how one can select only a few specific bands to speed up the process of fusion by exploiting spatial correlation within successive bands of the hyperspectral data. While the techniques for fusion of hyperspectral images are being developed, it is also important to establish a framework for objective assessment of such techniques. This monograph has a dedicated chapter describing various fusion performance measures that are applicable to hyperspectral image fusion. This monograph also presents a notion of consistency of a fusion technique which can be used to verify the suitability and applicability of a technique for fusion of a very large number of images. This book will be a highly useful resource to the students, researchers, academicians and practitioners in the specific area of hyperspectral image fusion, as well as generic image fusion.

Remote Sensing Image Fusion

Remote Sensing Image Fusion
Author : Luciano Alparone,Bruno Aiazzi,Stefano Baronti,Andrea Garzelli
Publisher : CRC Press
Release Date : 2015-03-06
Category : Science
Total pages :342
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A synthesis of more than ten years of experience, Remote Sensing Image Fusion covers methods specifically designed for remote sensing imagery. The authors supply a comprehensive classification system and rigorous mathematical description of advanced and state-of-the-art methods for pansharpening of multispectral images, fusion of hyperspectral and

Multi-Sensor Image Fusion and Its Applications

Multi-Sensor Image Fusion and Its Applications
Author : Rick S. Blum,Zheng Liu
Publisher : CRC Press
Release Date : 2018-10-03
Category : Technology & Engineering
Total pages :528
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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.

Remote Sensing Image Fusion

Remote Sensing Image Fusion
Author : Luciano Alparone,Bruno Aiazzi,Stefano Baronti,Andrea Garzelli
Publisher : CRC Press
Release Date : 2015-03-06
Category : Science
Total pages :342
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A synthesis of more than ten years of experience, Remote Sensing Image Fusion covers methods specifically designed for remote sensing imagery. The authors supply a comprehensive classification system and rigorous mathematical description of advanced and state-of-the-art methods for pansharpening of multispectral images, fusion of hyperspectral and

From Basic Cardiac Imaging to Image Fusion

From Basic Cardiac Imaging to Image Fusion
Author : Paolo Marzullo,Giuliano Mariani
Publisher : Springer Science & Business Media
Release Date : 2013-03-19
Category : Medical
Total pages :134
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The recent development of three-dimensional imaging techniques has provided an enormous amount of information relevant to the clinical management of patients at low and high risk for coronary artery disease. However, while progress in each individual technique has been rapid, the correlation of findings obtained with radiology, nuclear medicine, and magnetic resonance imaging is still relatively neglected. In this book, qualified experts in cardiac imaging present the basic concepts of cardiac pathology and imaging and compare the findings obtained in particular subspecialties with those acquired using other techniques. In this way the reader will learn how images and techniques can be integrated in clinical practice to the benefit of the patient. In addition, it is explained how appropriate multimodality integration can reduce the patient's exposure to ionizing radiation. Physicians ranging from cardiac surgeons to internal medicine specialists and even public health administrators will find this book invaluable in understanding the role of hybrid cardiac imaging.

Image Fusion

Image Fusion
Author : Christopher T. Davis
Publisher : Nova Science Pub Incorporated
Release Date : 2015-04-01
Category : Computers
Total pages :121
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The widespread use of image fusion methods (eg: in military applications, surveillance or medical diagnostics), has increased the need for pertinent performance or quality assessment tools to compare results obtained with different algorithms or to obtain an optimal setting of parameters for a given fusion algorithm. This book discusses principles, different technologies and applications of image fusion.

Image Fusion and Its Applications

Image Fusion and Its Applications
Author : Yufeng Zheng
Publisher : BoD – Books on Demand
Release Date : 2011-06-24
Category : Computers
Total pages :254
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The purpose of this book is to provide an overview of basic image fusion techniques and serve as an introduction to image fusion applications in variant fields. It is anticipated that it will be useful for research scientists to capture recent developments and to spark new ideas within the image fusion domain. With an emphasis on both the basic and advanced applications of image fusion, this 12-chapter book covers a number of unique concepts that have been graphically represented throughout to enhance readability, such as the wavelet-based image fusion introduced in chapter 2 and the 3D fusion that is proposed in Chapter 5. The remainder of the book focuses on the area application-orientated image fusions, which cover the areas of medical applications, remote sensing and GIS, material analysis, face detection, and plant water stress analysis.

Information Fusion in Signal and Image Processing

Information Fusion in Signal and Image Processing
Author : Isabelle Bloch
Publisher : John Wiley & Sons
Release Date : 2013-03-01
Category : Technology & Engineering
Total pages :320
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The area of information fusion has grown considerably during the last few years, leading to a rapid and impressive evolution. In such fast-moving times, it is important to take stock of the changes that have occurred. As such, this books offers an overview of the general principles and specificities of information fusion in signal and image processing, as well as covering the main numerical methods (probabilistic approaches, fuzzy sets and possibility theory and belief functions).

Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data

Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data
Author : Pramod K. Varshney,Manoj K. Arora
Publisher : Springer Science & Business Media
Release Date : 2013-03-09
Category : Science
Total pages :323
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The first of its kind, this book reviews image processing tools and techniques including Independent Component Analysis, Mutual Information, Markov Random Field Models and Support Vector Machines. The book also explores a number of experimental examples based on a variety of remote sensors. The book will be useful to people involved in hyperspectral imaging research, as well as by remote-sensing data like geologists, hydrologists, environmental scientists, civil engineers and computer scientists.

Image Fusion in Preclinical Applications

Image Fusion in Preclinical Applications
Author : Claudia Kuntner-Hannes,York Haemisch
Publisher : Springer
Release Date : 2018-12-22
Category : Medical
Total pages :209
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This book provides an accessible and comprehensive overview of the state of the art in multimodal, multiparametric preclinical imaging, covering all the modalities used in preclinical research. The role of different combinations of PET, CT, MR, optical, and optoacoustic imaging methods is examined and explained for a range of applications, from research in oncology, neurology, and cardiology to drug development. Examples of animal studies are highlighted in which multimodal imaging has been pivotal in delivering otherwise unobtainable information. Hardware and software image registration methods and animal-specific factors are also discussed. The readily understandable text is enhanced by numerous informative illustrations that help the reader to appreciate the similarities to, but also the differences from, clinical applications. Image Fusion in Preclinical Applications will be of interest to all who wish to learn more about the use of multimodal/multiparametric imaging as a tool for in vivo investigations in preclinical medical and pharmaceutical research.