| 书目名称 | Handbook of Mathematical Methods in Imaging | | 编辑 | Otmar Scherzer | | 视频video | | | 概述 | Presents comprehensive and rigorous treatment of mathematical methods in imaging.Groups content around themes of Inverse Problems (Algorithmic Reconstruction), and Signal and Image Processing.Supports | | 图书封面 |  | | 描述 | .The Handbook of Mathematical Methods in Imaging provides a comprehensive treatment of the mathematical techniques used in imaging science. The material is grouped into two central themes, namely, Inverse Problems (Algorithmic Reconstruction) and Signal and Image Processing. Each section within the themes covers applications (modeling), mathematics, numerical methods (using a case example) and open questions. Written by experts in the area, the presentation is mathematically rigorous. The entries are cross-referenced for easy navigation through connected topics. Available in both print and electronic forms, the handbook is enhanced by more than 150 illustrations and an extended bibliography...It will benefit students, scientists and researchers in applied mathematics. Engineers and computer scientists working in imaging will also find this handbook useful.. | | 出版日期 | Reference work 20111st edition | | 版次 | 1 | | doi | https://doi.org/10.1007/978-0-387-92920-0 | | isbn_ebook | 978-0-387-92920-0 | | copyright | Springer Science+Business Media, LLC 2011 |
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发表于 2025-3-21 16:19:27
