The Handbook of Mathematical Methods in Imaging gives an extensive treatment of the mathematical methods used in imaging science fiction. The content is grouped into two fundamental topics, namely, Inverse Problems (Algorithmic Reconstruction) and Signal and Image Processing. Each segment within the topics covers software (modeling), math, numerical approaches (with a case example) and open queries. The demonstration is demanding.
This revised and enlarged second edition includes upgrades to existing chapters and 16 additional entries on significant mathematical techniques like chart cuts, morphology, different geometry, PDEs, conformal techniques, to mention a couple. The entrances are cross-referenced for simple navigation through topics that were connected. Available over 200 examples and an elongated bibliography enhance the handbook.