Computational Information Geometry For Image and Signal Processing

Nielsen, Frank; Critchley, Frank and Dodson, Christopher T. J. eds. (2017). Computational Information Geometry For Image and Signal Processing. Signals and Communication Technology. Cham: Springer.



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.

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  • Item ORO ID
  • 47980
  • Item Type
  • Edited Book
  • ISBN
  • 3-319-47058-2, 978-3-319-47058-0
  • ISSN
  • 1860-4862
  • Project Funding Details
  • Funded Project NameProject IDFunding Body
    Emerging Geometries for Statistical Science: Articulating the Vision. (XM-12-086-FC)EP/L010429/1EPSRC (Engineering and Physical Sciences Research Council)
  • Extra Information
  • This book is the outcome of a workshop entitled “Computational information geometry for image and signal processing” ( that was hosted by the International Centre for Mathematical Sciences (ICMS, Edinburgh, UK), with funding from the London Mathematical Society and the British Engineering and Physical Sciences Research Council. The workshop took place during September 21–25, 2015.
  • Academic Unit or School
  • Faculty of Science, Technology, Engineering and Mathematics (STEM) > Mathematics and Statistics
    Faculty of Science, Technology, Engineering and Mathematics (STEM)
  • Copyright Holders
  • © 2017 Springer
  • Depositing User
  • Radka Sabolova