Multisensor Image Fusion, in computer vision, is the process of merging appropriate information from two or further images into a single image. The subsequent image will be more instructive than any of the input images. Several situations in image processing require high spatial and high spectral resolution in a single image. Many methods exist to perform image fusion. The very basic one is the high pass filtering technique. Later techniques are based on Discrete Wavelet Transform, uniform rational filter bank, and Laplacian pyramid. 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 intended to give new advancements in the field of image fusion.
Print ISBN: 9781682500132 | $ 180 | 2016 | Hardcover
Editor: Andre Thomas