Description |
1 online resource (xxiv, 379) : illustrations |
Series |
Chapman & Hall/CRC mathematical and computational imaging sciences |
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Chapman & Hall/CRC mathematical and computational imaging sciences.
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Contents |
Chapter 1 Introduction and Book Overview -- chapter 2 Mathematical Background -- chapter 3 Variational Image Restoration Models -- chapter 4 Nonlocal Variational Methods in Image Restoration -- chapter 5 Image Decomposition into Cartoon and Texture -- chapter 6 Mumford and Shah Functional for Image Segmentation -- chapter 7 Phase-Field Approximations to Mumford and Shah Problem -- chapter 8 Region-Based Variational Active Contours -- chapter 9 Edge-Based Variational Snakes and Active Contours -- chapter 10 Nonlocal Mumford-Shah and Ambrosio-Tortorelli Variational Models for Color Image Restoration -- chapter 11 A Combined Segmentation and Registration Variational Model -- chapter 12 Variational Image Registration Models -- chapter 13 Piecewise-Constant Binary Model for Electrical Impedance Tomography -- chapter 14 Additive and Multiplicative Piecewise-Smooth Segmentation Models in a Functional Minimization Approach -- chapter 15 Numerical Methods for p-Harmonic Flows and Applications to Image Processing |
Summary |
Variational Methods in Image Processing presents the principles, techniques, and applications of variational image processing. The text focuses on variational models, their corresponding Euler-Lagrange equations, and numerical implementations for image processing. It balances traditional computational models with more modern techniques that solve the latest challenges introduced by new image acquisition devices |
Bibliography |
Includes bibliographical references (pages 353-379) |
Notes |
Online resource; title from title page (Safari, viewed December 14, 2015) |
Subject |
Image processing -- Digital techniques.
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digital imaging.
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COMPUTERS -- General.
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Image processing -- Digital techniques.
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Form |
Electronic book
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Author |
Le Guyader, Carole, author
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ISBN |
9781439849743 |
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1439849749 |
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