Scherzer / Grasmair / Grossauer Variational Methods in Imaging
1. Auflage 2008
ISBN: 978-0-387-69277-7
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, 336 Seiten, Web PDF
Reihe: Mathematics and Statistics (R0)
ISBN: 978-0-387-69277-7
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
This book focuses on variational methods in imaging science. Many numerical examples accompany the theory throughout the text. This systematic presentation includes additional material and images available on the website. It is geared towards graduate students and researchers in applied mathematics. Researchers in the area of imaging science will also find this book appealing. It can serve as a main text in courses in image processing or as a supplemental text for courses on regularization and inverse problems at the graduate level.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Fundamentals of Imaging.- Case Examples of Imaging.- Image and Noise Models.- Regularization.- Variational Regularization Methods for the Solution of Inverse Problems.- Convex Regularization Methods for Denoising.- Variational Calculus for Non-convex Regularization.- Semi-group Theory and Scale Spaces.- Inverse Scale Spaces.- Mathematical Foundations.- Functional Analysis.- Weakly Differentiable Functions.- Convex Analysis and Calculus of Variations.
