Mathematical Image Processing

Mathematical Image Processing

by Kristian Bredies and Dirk Lorenz
Epub (Kobo), Epub (Adobe)
Publication Date: 07/02/2019

Share This eBook:

  $107.99

This book addresses the mathematical aspects of modern image processing methods, with a special emphasis on the underlying ideas and concepts. It discusses a range of modern mathematical methods used to accomplish basic imaging tasks such as denoising, deblurring, enhancing, edge detection and inpainting. In addition to elementary methods like point operations, linear and morphological methods, and methods based on multiscale representations, the book also covers more recent methods based on partial differential equations and variational methods.


Review of the German Edition: The overwhelming impression of the book is that of a very professional presentation of an appropriately developed and motivated textbook for a course like an introduction to fundamentals and modern theory of mathematical image processing. Additionally, it belongs to the bookcase of any office where someone is doing research/application in image processing. It has the virtues of a good and handy reference manual. (zbMATH, reviewer: Carl H. Rohwer, Stellenbosch)

ISBN:
9783030014582
9783030014582
Category:
Applied mathematics
Format:
Epub (Kobo), Epub (Adobe)
Publication Date:
07-02-2019
Language:
English
Publisher:
Springer International Publishing

This item is delivered digitally

Reviews

Be the first to review Mathematical Image Processing.