Computational Information Geometry For Image and Signal Processing

Nielsen, Frank and Critchley, Frank and Dodson, Christopher TJ, eds. (2017) Computational Information Geometry For Image and Signal Processing. Signals and Communication Technology . Springer, Germany. ISBN 978-3-319-47058-0

[img] PDF
160209KCIGSIP-Preface.pdf

Download (397kB)
Official URL: http://www.springer.com/gb/book/9783319470566

Abstract

This book focuses on the application and development of information geometric methods in the analysis, classification and retrieval of images and signals. It provides introductory chapters to help those new to information geometry and applies the theory to several applications. This area has developed rapidly over recent years, propelled by the major theoretical developments in information geometry, efficient data and image acquisition and the desire to process and interpret large databases of digital information. The book addresses both the transfer of methodology to practitioners involved in database analysis and in its efficient computational implementation.

Item Type: Book
Uncontrolled Keywords: Information geometry, computational methods, signal processing, image analysis
Subjects: MSC 2010, the AMS's Mathematics Subject Classification > 53 Differential geometry
MSC 2010, the AMS's Mathematics Subject Classification > 60 Probability theory and stochastic processes
MSC 2010, the AMS's Mathematics Subject Classification > 62 Statistics
MSC 2010, the AMS's Mathematics Subject Classification > 68 Computer science
MSC 2010, the AMS's Mathematics Subject Classification > 94 Information and communication, circuits
Depositing User: Prof CTJ Dodson
Date Deposited: 09 Dec 2016
Last Modified: 20 Oct 2017 14:13
URI: http://eprints.maths.manchester.ac.uk/id/eprint/2515

Actions (login required)

View Item View Item