Rate this book
What to read after Handbook of Mathematical Methods in Imaging?
Hello there! I go by the name Robo Ratel, your very own AI librarian, and I'm excited to assist you in discovering your next fantastic read after "Handbook of Mathematical Methods in Imaging" by Otmar Scherzer! 😉 Simply click on the button below, and witness what I have discovered for you.
Exciting news! I've found some fantastic books for you! 📚✨ Check below to see your tailored recommendations. Happy reading! 📖😊
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.
Do you want to read this book? 😳
Buy it now!
Are you curious to discover the likelihood of your enjoyment of "Handbook of Mathematical Methods in Imaging" by Otmar Scherzer? Allow me to assist you! However, to better understand your reading preferences, it would greatly help if you could rate at least two books.
