New Advances In Image Fusion PDF Download
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| Author | : Qiguang Miao |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 146 |
| Release | : 2013-11-20 |
| Genre | : Computers |
| ISBN | : 9535112066 |
Download New Advances in Image Fusion Book in PDF, ePub and Kindle
Image Fusion is an important branch of information fusion, and it is also an important technology for image understanding and computer vision. The fusion process is to merging different images into one to get more accurate description for the scene. The original images for image fusion are always obtained by several different image sensors, or the same sensor in different operating modes. The fused image can provide more effective information for further image processing, such as image segmentation, object detection and recognition. Image fusion is a new study field which combined with many different disciplines, such as sensors, signal processing, image processing, computer and artificial intelligence. In the past two decades, a large number of research literatures appear. This book is edited based on these research results, and many research scholars give a great help to this book.
| 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 | : Xin Jin |
| Publisher | : Frontiers Media SA |
| Total Pages | : 180 |
| Release | : 2023-06-27 |
| Genre | : Science |
| ISBN | : 2832524591 |
Download Recent Advances in Image Fusion and Quality Improvement for Cyber-Physical Systems Book in PDF, ePub and Kindle
| Author | : Rick S. Blum |
| Publisher | : CRC Press |
| Total Pages | : 528 |
| Release | : 2018-10-03 |
| Genre | : Technology & Engineering |
| ISBN | : 1420026984 |
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, 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.
| 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 | : Gang Xiao |
| Publisher | : Springer Nature |
| Total Pages | : 415 |
| Release | : 2020-08-31 |
| Genre | : Computers |
| ISBN | : 9811548676 |
Download Image Fusion Book in PDF, ePub and Kindle
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 | : Chiman Kwan |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 180 |
| Release | : 2020-11-04 |
| Genre | : Computers |
| ISBN | : 1839683554 |
Download Recent Advances in Image Restoration with Applications to Real World Problems Book in PDF, ePub and Kindle
In the past few decades, imaging hardware has improved tremendously in terms of resolution, making widespread usage of images in many diverse applications on Earth and planetary missions. However, practical issues associated with image acquisition are still affecting image quality. Some of these issues such as blurring, measurement noise, mosaicing artifacts, low spatial or spectral resolution, etc. can seriously affect the accuracy of the aforementioned applications. This book intends to provide the reader with a glimpse of the latest developments and recent advances in image restoration, which includes image super-resolution, image fusion to enhance spatial, spectral resolution, and temporal resolutions, and the generation of synthetic images using deep learning techniques. Some practical applications are also included.
| Author | : Subhasis Chaudhuri |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 200 |
| Release | : 2013-05-25 |
| Genre | : Computers |
| ISBN | : 1461474701 |
Download Hyperspectral Image Fusion Book in PDF, ePub and Kindle
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.
| 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.
