Variational methods in image processing
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.
Read More ↓Title Statements
- Full title :Variational methods in image processing / by Luminita A. Vese and Carole Le Guyader.
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.
Read More ↓Edition Statements
- Publication Date:2015.
- Edition:1st edition
Publication Statements
- Publisher(s):Chapman and Hall/CRC, an imprint of Taylor and Francis
- Place of Publication:Boca Raton, FL
- Language:eng
- Publication Date:2015.
Notes
"Chapman & Hall Book."
The Physical Object
- Description:1 online resource (xxiv, 385 pages, 10 unnumbered pages of plates) : : illustrations.
Edition Identifiers
- ISBN:0429109946, 9780429109942, 1439849749, 9781439849743, 1439849730, 9781439849736
- oclc:on1316426101
- LC Classification:TA1637
- Dewey Decimal:006.6
Table of 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.
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