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.

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...

Table of Contents:

• 1 Silvia Bonettini et al., Recent advances in variable metric first-order methods
• 2 Davide Bianchi et al., Structure preserving preconditioning for frame-based image deblurring
• 3 Pietro Dell'Acqua et al, Non-stationary structure-preserving preconditioning for image restoration
• 4 Sean Hon and Andy Wathen, Numerical investigation of the spectral distribution of Toeplitz-function sequences
• 5 Anna Maria Massone et al., The Hough transform and the impact of chronic leukemia on the compact bone tissue from CT-images analysis
• 6 Marco Prato et al., Multiple image deblurring with high dynamic-range Poisson data
• 7 Silvia Tozza and Maurizio Falcone, On the segmentation of astronomical images via level-set methods.