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 computation...
| Otros Autores: | , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, FL :
Chapman and Hall/CRC, an imprint of Taylor and Francis
2015.
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| Edición: | 1st edition |
| Colección: | Chapman & Hall/CRC mathematical and computational imaging sciences.
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630183006719 |
Tabla de Contenidos:
- 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.
