The Handbook of Mathematical Methods in Imaging provides a comprehensive treatment of the
mathematical techniques used in imaging science. The material is grouped into two central
themes namely Inverse Problems (Algorithmic Reconstruction) and Signal and Image Processing.
Each section within the themes covers applications (modeling) mathematics numerical methods
(using a case example) and open questions. Written by experts in the area the presentation is
mathematically rigorous. The entries are cross-referenced for easy navigation through connected
topics. Available in both print and electronic forms the handbook is enhanced by more than 150
illustrations and an extended bibliography.It will benefit students scientists and researchers
in applied mathematics. Engineers and computer scientists working in imaging will also find
this handbook useful.
