Foundations of Computational Imaging is popular PDF and ePub book, written by Charles A. Bouman in 2022-07-06, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Foundations of Computational Imaging can be Read Online from any device for your convenience.
Foundations of Computational Imaging Book PDF Summary
Collecting a set of classical and emerging methods previously unavailable in a single resource, Foundations of Computational Imaging: A Model-Based Approach is the first book to define a common foundation for the mathematical and statistical methods used in computational imaging. The book brings together a blend of research with applications in a variety of disciplines, including applied math, physics, chemistry, optics, and signal processing, to address a collection of problems that can benefit from a common set of methods. Readers will find basic techniques of model-based image processing, a comprehensive treatment of Bayesian and regularized image reconstruction methods, and an integrated treatment of advanced reconstruction techniques, such as majorization, constrained optimization, alternating direction method of multipliers (ADMM), and Plug-and-Play methods for model integration. Foundations of Computational Imaging can be used in courses on model-based or computational imaging, advanced numerical analysis, data science, numerical optimization, and approximation theory. It will also prove useful to researchers or practitioners in medical, scientific, commercial, and industrial imaging.
Detail Book of Foundations of Computational Imaging PDF
- Author : Charles A. Bouman
- Release : 06 July 2022
- Publisher : SIAM
- ISBN : 9781611977134
- Genre : Mathematics
- Total Page : 350 pages
- Language : English
- PDF File Size : 20,8 Mb
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