Introduction to Inverse Problems in Imaging

✍ Scribed by M. Bertero, P. Boccacci, Christine De Mol

• Publisher: CRC Press
• Year: 2021
• Tongue: English
• Leaves: 358
• Edition: 2
• Category: Library

✦ Table of Contents

Cover
Half Title
Title Page
Copyright Page
Dedication
Contents
Preface to the first edition
Preface to the second edition
Author Bios
Acronyms
1. Introduction
Part I: Image Deconvolution
2. Examples of image blurring
3. The ill-posedness of image deconvolution
4. Quadratic Tikhonov regularization and filtering
5. Iterative regularization methods
Part II: Linear Inverse Problems
6. Examples of linear inverse problems
7. Singular value decomposition (SVD)
8. Inversion methods revisited
9. Edge-preserving regularization
10. Sparsity-enforcing regularization
Part III: Statistical Methods
11. Statistical approaches to linear inverse problems
12. Statistical methods in the case of additive Gaussian noise
13. Statistical methods in the case of Poisson data
14. Conclusions
References
Index