Variational Methods in Imaging

This book is devoted to the study of variational methods in imaging. The presentation is mathematically rigorous and covers a detailed treatment of the approach from an inverse problems point of view. Key Features: - Introduces variational methods with motivation from the deterministic, geometric, a...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Scherzer, Otmar (Autor), Grasmair, Markus (Autor), Grossauer, Harald (Autor), Haltmeier, Markus (Autor), Lenzen, Frank (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Applied Mathematical Sciences, 167
Temas:
Mathematical optimization.
Calculus of variations.
Computer vision.
Signal processing.
Numerical analysis.
Radiology.
Calculus of Variations and Optimization.
Computer Vision.
Signal, Speech and Image Processing .
Numerical Analysis.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Fundamentals of Imaging
  • Case Examples of Imaging
  • Image and Noise Models
  • Regularization
  • Variational Regularization Methods for the Solution of Inverse Problems
  • Convex Regularization Methods for Denoising
  • Variational Calculus for Non-convex Regularization
  • Semi-group Theory and Scale Spaces
  • Inverse Scale Spaces
  • Mathematical Foundations
  • Functional Analysis
  • Weakly Differentiable Functions
  • Convex Analysis and Calculus of Variations.

Ejemplares similares