Computational Methods for Inverse Problems in Imaging

• Corporate Author: SpringerLink (Online service)
• Other Authors: Donatelli, Marco (Editor, http://id.loc.gov/vocabulary/relators/edt), Serra-Capizzano, Stefano (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Springer INdAM Series, 36
• Subjects: Computer mathematics.; Mathematical physics.; Applied mathematics.; Engineering mathematics.; Computational Mathematics and Numerical Analysis.; Mathematical Applications in the Physical Sciences.; Mathematical and Computational Engineering.
• Physical Description: IX, 166 p. 69 illus., 50 illus. in color. online resource.
• ISBN: 9783030328825
• ISSN: 2281-518X ;
• DOI: 10.1007/978-3-030-32882-5

This book presents recent mathematical methods in the area of inverse problems in imaging with a particular focus on the computational aspects and applications. The formulation of inverse problems in imaging requires accurate mathematical modeling in order to preserve the significant features of the image. The book describes computational methods to efficiently address these problems based on new optimization algorithms for smooth and nonsmooth convex minimization, on the use of structured (numerical) linear algebra, and on multilevel techniques. It also discusses various current and challenging applications in fields such as astronomy, microscopy, and biomedical imaging. The book is intended for researchers and advanced graduate students interested in inverse problems and imaging.