The Handbook of Mathematical Methods in Imaging provides a comprehensive review of the mathematical techniques used in imaging science. The material is grouped into two central themes: Inverse Problems (Algorithmic Reconstruction) and Signal and Image Processing. Each sub-section covers applications (modeling), mathematics, numerical methods (using a case example) and open questions. Written by experts, the presentation is mathematically rigorous. Entries are cross-referenced for easy navigation through connected topics. Available in both print and electronic forms, the handbook is enhanced by more than150 illustrations and an extended bibliography.

The Handbook benefits students, scientists and researchers in applied mathematics. Engineers and computer scientists working in imaging will also find this handbook useful.