M. Bertero, P. Boccacci, Christine de Mol

Introduction to Inverse Problems in Imaging (eBook, PDF)

• Format: PDF

Produktbeschreibung

Fully updated throughout, with several new chapters, this second edition of Introduction to Inverse Problems in Imaging guides advanced undergraduate and graduate students in physics, computer science, mathematics and engineering through the principles of linear inverse problems.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 358
• Erscheinungstermin: 20. Dezember 2021
• Englisch
• ISBN-13: 9781000516357
• Artikelnr.: 62835276

Autorenporträt

Mario Bertero is a Professor at the Università di Genova.
Patrizia Boccacci is a Professor at the Università di Genova.
Christine De Mol is a Professor at the Université libre de Bruxelles.

Inhaltsangabe

1. Introduction. 2. Examples of image blurring. 3. The ill-posedness of
image deconvolution. 4. Quadratic tikhonov regularization. 5. Iterative
regularization methods. 6. Examples of linear inverse problems. 7. Singular
value decomposition (SVD). 8. Inversion methods revisited. 9.
Edge-preserving regularization. 10. Sparsity-enforcing regularization. 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