Handbook of Mathematical Methods in Imaging
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 t...
Corporate Author: | SpringerLink (Online service) |
---|---|
Other Authors: | Scherzer, Otmar. (Editor, http://id.loc.gov/vocabulary/relators/edt) |
Language: | English |
Published: |
New York, NY :
Springer New York : Imprint: Springer,
2015.
|
Edition: | 2nd ed. 2015. |
Subjects: | |
Online Access: | https://doi.org/10.1007/978-1-4939-0790-8 |
Similar Items
-
Linear Integral Equations by Rainer Kress.
by: Kress, Rainer., et al.
Published: (2014) -
Algorithms for Sparsity-Constrained Optimization by Sohail Bahmani.
by: Bahmani, Sohail., et al.
Published: (2014) -
Computational Modeling of Objects Presented in Images Fundamentals, Methods and Applications / edited by Paolo Di Giamberardino, Daniela Iacoviello, Renato Natal Jorge, João Manuel R. S. Tavares.
Published: (2014) -
Compressed Sensing & Sparse Filtering edited by Avishy Y. Carmi, Lyudmila Mihaylova, Simon J. Godsill.
Published: (2014) -
Advances in Low-Level Color Image Processing edited by M. Emre Celebi, Bogdan Smolka.
Published: (2014)