- 410 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Variational Methods in Image Processing
About this book
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 t
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Yes, you can access Variational Methods in Image Processing by Luminita A. Vese,Carole Le Guyader in PDF and/or ePUB format, as well as other popular books in Informatik & Computergraphiken. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Front Cover
- Contents
- List of Figures
- List of Tables
- Preface
- 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 MumfordāShah and AmbrosioāTortorelli 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 pāHarmonic Flows and Applications to Image Processing
- Bibliography
- Color Insert
- Back Cover