书目名称 | Variational Methods in Imaging |
编辑 | Otmar Scherzer,Markus Grasmair,Frank Lenzen |
视频video | http://file.papertrans.cn/981/980594/980594.mp4 |
概述 | Introduces variational methods with motivation from the deterministic, geometric and stochastic point of view.Presents case examples in imaging to illustrate the use of variational methods e.g. denois |
丛书名称 | Applied Mathematical Sciences |
图书封面 |  |
描述 | .This book is devoted to the study of variational methods in imaging. The presentation is mathematically rigorous and covers a detailed treatment of the approach from an inverse problems point of view. ..Key Features:..- Introduces variational methods with motivation from the deterministic, geometric, and stochastic point of view..- Bridges the gap between regularization theory in image analysis and in inverse problems..- Presents case examples in imaging to illustrate the use of variational methods e.g. denoising, thermoacoustics, computerized tomography..- Discusses link between non-convex calculus of variations, morphological analysis, and level set methods..- Analyses variational methods containing classical analysis of variational methods, modern analysis such as G-norm properties, and non-convex calculus of variations..- Uses numerical examples to enhance the theory..This book is geared towards graduate students and researchers in applied mathematics. It can serve as a main text for graduate courses in image processing and inverse problems or as a supplemental text for courses on regularization. Researchers and computer scientists in the area of imaging science will also find |
出版日期 | Textbook 2009 |
关键词 | Calculus of Variations; acoustics; image analysis; image processing; imaging science; inverse problems; re |
版次 | 1 |
doi | https://doi.org/10.1007/978-0-387-69277-7 |
isbn_softcover | 978-1-4419-2166-6 |
isbn_ebook | 978-0-387-69277-7Series ISSN 0066-5452 Series E-ISSN 2196-968X |
issn_series | 0066-5452 |
copyright | Springer-Verlag New York 2009 |