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| Author | : Yufeng Zheng |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 256 |
| Release | : 2011-06-24 |
| Genre | : Computers |
| ISBN | : 9533071826 |
Download Image Fusion and Its Applications Book in PDF, ePub and Kindle
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.
| Author | : Tania Stathaki |
| Publisher | : Elsevier |
| Total Pages | : 519 |
| Release | : 2011-08-29 |
| Genre | : Technology & Engineering |
| ISBN | : 0080558526 |
Download Image Fusion Book in PDF, ePub and Kindle
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
| Author | : Luciano Alparone |
| Publisher | : CRC Press |
| Total Pages | : 328 |
| Release | : 2015-03-06 |
| Genre | : Science |
| ISBN | : 1466587504 |
Download Remote Sensing Image Fusion Book in PDF, ePub and Kindle
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
| Author | : H.B. Mitchell |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 247 |
| Release | : 2010-03-16 |
| Genre | : Technology & Engineering |
| ISBN | : 3642112161 |
Download Image Fusion Book in PDF, ePub and Kindle
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.
| Author | : Rick S. Blum |
| Publisher | : |
| Total Pages | : 505 |
| Release | : 2006 |
| Genre | : Electronic books |
| ISBN | : 9781351828260 |
Download Multi-sensor Image Fusion and Its Applications Book in PDF, ePub and Kindle
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,
| Author | : Gang Xiao |
| Publisher | : Springer Nature |
| Total Pages | : 415 |
| Release | : 2020-08-31 |
| Genre | : Computers |
| ISBN | : 9811548676 |
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This book systematically discusses the basic concepts, theories, research and latest trends in image fusion. It focuses on three image fusion categories – pixel, feature and decision – presenting various applications, such as medical imaging, remote sensing, night vision, robotics and autonomous vehicles. Further, it introduces readers to a new category: edge-preserving-based image fusion, and provides an overview of image fusion based on machine learning and deep learning. As such, it is a valuable resource for graduate students and scientists in the field of digital image processing and information fusion.
| Author | : Yufeng Zheng (Associate professor) |
| Publisher | : |
| Total Pages | : 396 |
| Release | : 2018 |
| Genre | : Computer vision |
| ISBN | : 9781510619067 |
Download Multispectral Image Fusion and Colorization Book in PDF, ePub and Kindle
"This book provides a complete overview of the state of the art in color image fusion, the associated evaluation methods, and its range of applications. It presents a comprehensive overview of fusion metrics and a comparison of objective metrics and subjective evaluations. Part I addresses the historical background and basic concepts. Part II describes image fusion theory. Part III focuses on quantitative and qualitative evaluation. Part IV presents several fusion applications, including two primary multiscale fusion approaches - the image pyramid and wavelet transform - as they pertain to face matching, biomedical imaging, and night vision"--
| Author | : Christine Pohl |
| Publisher | : CRC Press |
| Total Pages | : 289 |
| Release | : 2016-10-03 |
| Genre | : Technology & Engineering |
| ISBN | : 1498730035 |
Download Remote Sensing Image Fusion Book in PDF, ePub and Kindle
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.
| Author | : Chakraborty, Shouvik |
| Publisher | : IGI Global |
| Total Pages | : 271 |
| Release | : 2020-03-13 |
| Genre | : Computers |
| ISBN | : 1799827380 |
Download Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities Book in PDF, ePub and Kindle
Computer vision and object recognition are two technological methods that are frequently used in various professional disciplines. In order to maintain high levels of quality and accuracy of services in these sectors, continuous enhancements and improvements are needed. The implementation of artificial intelligence and machine learning has assisted in the development of digital imaging, yet proper research on the applications of these advancing technologies is lacking. Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities explores the theoretical and practical aspects of modern advancements in digital image analysis and object detection as well as its applications within healthcare, security, and engineering fields. Featuring coverage on a broad range of topics such as disease detection, adaptive learning, and automated image segmentation, this book is ideally designed for engineers, physicians, researchers, academicians, practitioners, scientists, industry professionals, scholars, and students seeking research on the current developments in object recognition using artificial intelligence.
| Author | : Fathi E. Abd El-Samie |
| Publisher | : CRC Press |
| Total Pages | : 505 |
| Release | : 2012-12-15 |
| Genre | : Computers |
| ISBN | : 1466557966 |
Download Image Super-Resolution and Applications Book in PDF, ePub and Kindle
This book is devoted to the issue of image super-resolution—obtaining high-resolution images from single or multiple low-resolution images. Although there are numerous algorithms available for image interpolation and super-resolution, there’s been a need for a book that establishes a common thread between the two processes. Filling this need, Image Super-Resolution and Applications presents image interpolation as a building block in the super-resolution reconstruction process. Instead of approaching image interpolation as either a polynomial-based problem or an inverse problem, this book breaks the mold and compares and contrasts the two approaches. It presents two directions for image super-resolution: super-resolution with a priori information and blind super-resolution reconstruction of images. It also devotes chapters to the two complementary steps used to obtain high-resolution images: image registration and image fusion. Details techniques for color image interpolation and interpolation for pattern recognition Analyzes image interpolation as an inverse problem Presents image registration methodologies Considers image fusion and its application in image super resolution Includes simulation experiments along with the required MATLAB® code Supplying complete coverage of image-super resolution and its applications, the book illustrates applications for image interpolation and super-resolution in medical and satellite image processing. It uses MATLAB® programs to present various techniques, including polynomial image interpolation and adaptive polynomial image interpolation. MATLAB codes for most of the simulation experiments supplied in the book are included in the appendix.
