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(More customer reviews)It should come as no surprise that viewing things with different sensors produce images that are different. Looking at two or more images side by side may well not provide enough information to the brain for a combined or fused image to appear. This book is on computer processing of multiple images to present a combined image that provides a human with an enhanced picture containing more useful information than the two separate images.
Blum and Liu are editors of the book. They are contributors to some of the chapters, the other chapters are written by an international group of experts in various fields. Contributors come from Canada, France, England, Czech Republic, Australia, The Netherlands, and all around the US.
The book is a combined technical work on producing fused images along with application notes on the use of fused images in various applications such as medical imagery, surveillance and navigation, various industrial applications and more. There are twenty eight pages of color images most of which contain multiple images.
This book represents the state of the art in image fusion as it exists today.
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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.
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