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Computational methods for inverse pr...

Donatelli, Marco.

Computational methods for inverse problems in imaging

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computational methods for inverse problems in imagingedited by Marco Donatelli, Stefano Serra-Capizzano.
other author:	Donatelli, Marco.
Published:	Cham :Springer International Publishing :2019.
Description:	ix, 166 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Diagnostic imagingMathematics.
Online resource:	https://doi.org/10.1007/978-3-030-32882-5
ISBN:	9783030328825$q(electronic bk.)

Computational methods for inverse problems in imaging
Computational methods for inverse problems in imaging[electronic resource] /edited by Marco Donatelli, Stefano Serra-Capizzano. - Cham :Springer International Publishing :2019. - ix, 166 p. :ill., digital ;24 cm. - Springer INdAM series,v.362281-518X ;. - Springer INdAM series ;v.6..

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.

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.

ISBN: 9783030328825$q(electronic bk.)

Standard No.: 10.1007/978-3-030-32882-5doiSubjects--Topical Terms:

328779
Diagnostic imaging
--Mathematics.

LC Class. No.: RC78.7.D53 / C66 2019

Dewey Class. No.: 616.0754

Computational methods for inverse problems in imaging
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490 1 $a Springer INdAM series, $x 2281-518X ; $v v.36
505 0 $a 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.
520 $a 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.
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650 2 4 $a Mathematical and Computational Engineering. $3 775095
700 1 $a Donatelli, Marco. $3 855763
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