This comprehensive guide offers a new approach for developing and implementing robust computational methodologies that uncover the key geometric and topological

This book focuses on the application and development of information geometric methods in the analysis, classification and retrieval of images and signals. It pr

Over the past 15 years, there has been a growing need in the medical image computing community for principled methods to process nonlinear geometric data. Riema

This book develops the mathematical foundation of modern image processing and low-level computer vision, bridging contemporary mathematics with state-of-the-art

Presents state-of-the-art sparse and multiscale image and signal processing with applications in astronomy, biology, MRI, media, and forensics.