| 书目名称 | Image Mosaicing and Super-resolution | | 编辑 | David Capel | | 视频video | | | 概述 | There are no existing book references regarding image mosaicing or super-resolution applied to video image sequence.There are of course many unpublished dissertations, journal articles and technical r | | 丛书名称 | Distinguished Dissertations | | 图书封面 |  | | 描述 | This book investigates sets of images consisting of many overlapping viewsofa scene, and how the information contained within them may be combined to produce single images of superior quality. The generic name for such techniques is frame fusion. Using frame fusion, it is possible to extend the fieldof view beyond that ofany single image, to reduce noise, to restore high-frequency content, and even to increase spatial resolution and dynamic range. The aim in this book is to develop efficient, robust and automated frame fusion algorithms which may be applied to real image sequences. An essential step required to enable frame fusion is image registration: computing the point-to-point mapping between images in their overlapping region. This sub problem is considered in detail, and a robust and efficient solution is proposed and its accuracy evaluated. Two forms of frame fusion are then considered: image mosaic ing and super-resolution. Image mosaicing is the alignment of multiple images into a large composition which represents part of a 3D scene. Super-resolution is a more sophisticated technique which aims to restore poor-quality video sequences by mod elling and removing the deg | | 出版日期 | Book 2004 | | 关键词 | Image mosicing; Image registration; Super-resolution; algorithms; remote sensing; rendering; video compres | | 版次 | 1 | | doi | https://doi.org/10.1007/978-0-85729-384-8 | | isbn_softcover | 978-1-4471-1049-1 | | isbn_ebook | 978-0-85729-384-8 | | copyright | Springer-Verlag London 2004 |
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发表于 2025-3-21 18:42:24
