EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link: https://ebookbell.com/faq

We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.

For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Handbook Of Mathematical Methods In Imaging Scherzer O Ed

SKU: BELL-2047360

$ 31.00 ~~$ 45.00~~ (-31%)

0 reviews

Handbook Of Mathematical Methods In Imaging Scherzer O Ed instant download after payment.

Publisher: Springer

File Extension: PDF

File size: 34.98 MB

Pages: 1620

Author: Scherzer O. (ed.)

ISBN: 9780387929194, 0387929193

Language: English

Year: 2010

Product desciption

Handbook Of Mathematical Methods In Imaging Scherzer O Ed by Scherzer O. (ed.) 9780387929194, 0387929193 instant download after payment.

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.