Handbook of Convex Optimization Methods in Imaging Science

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Monga, Vishal (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Θέματα: 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...

Πίνακας περιεχομένων:

• 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.