Handbook of Convex Optimization Methods in Imaging Science

• Corporate Author: SpringerLink (Online service)
• Other Authors: Monga, Vishal (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Subjects: Optical data processing.; Signal processing.; Image processing.; Speech processing systems.; Image Processing and Computer Vision.; Signal, Image and Speech Processing.

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...

Table of Contents:

• Preface
• 1 Introduction
• 2 Optimizing Image Quality
• 3 Computational Color Imaging
• 4 Optimization Methods for SAR
• 5 Computational Spectral Ultrafast Imaging
• 6 Discriminative Sparse Representation
• 7 Sparsity-based Nonlocal Image Restoration
• 8 Sparsity Constrained Estimation
• 9 Optimization Problems Associated with Manifolds.