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Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series

Series Editor: Chandrajit Bajaj, Guillermo Sapiro

New and Published Books

1-5 of 5 results in Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series
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  1. Image Processing and Acquisition using Python

    By Ravishankar Chityala, Sridevi Pudipeddi

    Series: Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series

    Image Processing and Acquisition using Python provides readers with a sound foundation in both image acquisition and image processing—one of the first books to integrate these topics together. By improving readers’ knowledge of image acquisition techniques and corresponding image processing, the...

    Published February 18th 2014 by Chapman and Hall/CRC

  2. Image Processing for Cinema

    By Marcelo Bertalmío

    Series: Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series

    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...

    Published February 3rd 2014 by Chapman and Hall/CRC

  3. Statistical and Computational Methods in Brain Image Analysis

    By Moo K. Chung

    Series: Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series

    The massive amount of nonstandard high-dimensional brain imaging data being generated is often difficult to analyze using current techniques. This challenge in brain image analysis requires new computational approaches and solutions. But none of the research papers or books in the field describe...

    Published July 22nd 2013 by CRC Press

  4. Theoretical Foundations of Digital Imaging Using MATLAB®

    By Leonid P. Yaroslavsky

    Series: Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series

    With the ubiquitous use of digital imaging, a new profession has emerged: imaging engineering. Designed for newcomers to imaging science and engineering, Theoretical Foundations of Digital Imaging Using MATLAB® treats the theory of digital imaging as a specific branch of science. It covers the...

    Published November 25th 2012 by CRC Press

  5. Rough Fuzzy Image Analysis

    Foundations and Methodologies

    Edited by Sankar K. Pal, James F. Peters

    Series: Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series

    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...

    Published May 3rd 2010 by CRC Press

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Forthcoming Books

  1. Variational Methods in Image Processing
    By Luminita A. Vese
    To Be Published March 14th 2015
  2. Mathematical Methods for Electron Tomography
    By Ozan Oktem, Hans Rullgard
    To Be Published June 14th 2015

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