Foundations of Computational Imaging: A Model-Based Approach - Brossura

Charles A. Bouman (author)

 
9781611977127: Foundations of Computational Imaging: A Model-Based Approach
Brossura
ISBN 10: 1611977126 ISBN 13: 9781611977127
Casa editrice: SIAM - Society for Industrial and Applied Mathematics, 2022

Sinossi

Collecting a set of classical and emerging methods that otherwise would not be available in a single treatment, Foundations of Computational Imaging: A Model-Based Approach is the first book to define a common foundation for the mathematical and statistical methods used in computational imaging. The book is designed to bring together an eclectic group of researchers with a wide variety of applications and disciplines including applied math, physics, chemistry, optics, and signal processing, to address a collection of problems that can benefit from a common set of methods. Inside, readers will find:

  • Basic techniques of model-based image processing.
  • A comprehensive treatment of Bayesian and regularized image reconstruction methods.
  • An integrated treatment of advanced reconstruction techniques such as majorization, constrained optimization, ADMM, and Plug-and-Play methods for model integration.


Foundations of Computational Imaging can be used in courses on Model-Based or Computational Imaging, Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory. It is also for researchers or practitioners in medical imaging, scientific imaging, commercial imaging, or industrial imaging.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Editore
SIAM - Society for Industrial and Applied Mathematics
Data di pubblicazione
2022
Lingua
Inglese
ISBN 10 
1611977126
ISBN 13 
9781611977127
Rilegatura
Copertina flessibile
Numero di pagine
277
Contatto del produttore
non disponibile
Persona responsabile
non disponibile