Variational methods in image processing

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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.

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Title Statements

Full title :Variational methods in image processing / Luminita A. Vese, Carole Le Guyader.

Summary

Edition Statements

Publication Date:©2016

Publication Statements

Publisher(s):CRC Press
Place of Publication:Boca Raton, FL
Language:eng
Publication Date:©2016

The Physical Object

Description:1 online resource (xxiv, 379) : : illustrations

Edition Identifiers

ISBN:9781439849743, 1439849749
oclc:ocn932303280
LC Classification:TA1637
Dewey Decimal:006.6

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.