Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series
About the Book Series
This series aims to capture new developments and summarize what is known over the whole spectrum of mathematical and computational imaging sciences. It seeks to encourage the integration of mathematical, statistical, and computational methods in image acquisition and processing by publishing a broad range of textbooks, reference works, and handbooks. The titles included in the series are meant to appeal to students, researchers, and professionals in the mathematical, statistical, and computational sciences and application areas as well as interdisciplinary researchers involved in the field. The inclusion of concrete examples and applications and programming code and examples is highly encouraged.
An Image Processing Tour of College Mathematics
1st Edition
By Yevgeniy V. Galperin
August 01, 2022
An Image Processing Tour of College Mathematics aims to provide meaningful context for reviewing key topics of the college mathematics curriculum, to help students gain confidence in using concepts and techniques of applied mathematics, to increase student awareness of recent developments in ...
Image Processing for Cinema
1st Edition
By Marcelo Bertalmío
October 23, 2019
Image Processing for Cinema presents a detailed overview of image processing techniques that are used in practice in digital cinema. The book shows how image processing has become ubiquitous in movie-making, from shooting to exhibition. It covers all the ways in which image processing algorithms ...
Rough Fuzzy Image Analysis: Foundations and Methodologies
1st Edition
Edited
By Sankar K. Pal, James F. Peters
October 06, 2017
Fuzzy sets, near sets, and rough sets are useful and important stepping stones in a variety of approaches to image analysis. These three types of sets and their various hybridizations provide powerful frameworks for image analysis. Emphasizing the utility of fuzzy, near, and rough sets in image ...
Variational Methods in Image Processing
1st Edition
By Luminita A. Vese, Carole Le Guyader
December 18, 2015
Variational Methods in Image Processing presents the principles, techniques, and applications of variational image processing. The text focuses on variational models, their corresponding Euler–Lagrange equations, and numerical implementations for image processing. It balances traditional ...