Handbook of convex optimization methods in imaging science /

This book covers recent advances in image processing and imaging sciences from an optimization viewpoint, especially convex optimization with the goal of designing tractable algorithms. Throughout the handbook, the authors introduce topics on the most key aspects of image acquisition and processing...

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Bibliographic Details
Call Number:Libro Electrónico
Other Authors: Monga, Vishal (Editor)
Format: Electronic eBook
Language:Inglés
Published: Cham : Springer, 2017.
Subjects:
Image processing > Digital techniques.
Convex programming.
Traitement d'images > Techniques numériques.
Programmation convexe.
digital imaging.
Imaging systems & technology.
Image processing.
TECHNOLOGY & ENGINEERING > Mechanical.
Convex programming
Image processing > Digital techniques
Online Access:Texto completo
Table of Contents:
  • Introduction
  • Optimizing image quality
  • Computational color imaging
  • Optimizaton methods for synthetic aperture radar imaging
  • Computational spectral and ultrafast imaging via convex optimization
  • Discriminative sparse representations
  • Sparsity based nonlocal image restoration: an alternating optimization approach
  • Sparsity constrained estimation in image processing and computer vision
  • Optimization problems associated with manifold-valued curves with applications in computer vision.

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