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Computer Science - Image Processing | Journal of Mathematical Imaging and Vision - incl. option to publish open access (Editorial Board)

Journal of Mathematical Imaging and Vision

Journal of Mathematical Imaging and Vision

Editor-in-Chief: Joachim Weickert

ISSN: 0924-9907 (print version)
ISSN: 1573-7683 (electronic version)

Journal no. 10851

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Founding Editor:

Gerhard X. Ritter
University of Florida, Dept. of Computer and Information Science, Gainesville, USA


Joachim Weickert
Saarland University, Germany

Editorial Board: 

Luis Alvarez, Universidad de Las Palmas de Gran Canaria, Spain
Gilles Aubert, University of Nice-Sophia Antipolis, France
Jean-François Aujol, Université Bordeaux, France
João Pedro Barreto, University of Coimbra, Portugal
Joost Batenburg, CWI, Amsterdam, The Netherlands
Partha Bhowmick, IIT Kharagpur, India
Michael Breuß, BTU Cottbus-Senftenberg, Germany
Martin Burger, University of Münster, Germany
Daniela Calvetti, CWRU, Cleveland, USA
Antonin Chambolle, Ecole Polytechnique, France
Raymond H. Chan, The Chinese University of Hong Kong, Hong Kong
Beijing Chen, Nanjing University of Information Science & Technology, China
Yunmei Chen, University of Florida, USA
Krzysztof Chris Ciesielski, West Virginia University, USA
David Coeurjolly, CNRS, Université de Lyon, France
Remco Duits, TU Eindhoven, The Netherlands
Jürgen Gall, University of Bonn, Germany
Guy Gilboa, Technion, Hafia, Israel
Manuel Graña, University of the Basque Country, Spain
Lewis Griffin, UC London, UK
Patrick Guidotti, University of California, Irvine, USA
Christine Guillemot, INRIA, France
Fredrik Kahl, Chalmers University of Technology, Sweden
Gitta Kutyniok, TU Berlin, Germany
Victor Lempitsky, Skoltech, Russia
Julien Mairal, INRIA Grenoble, France
Jan Modersitzki, University of Lübeck, Germany
Jean-Michel Morel, CMLA, Ecole Normale Supérieure de Cachan, France
Serena Morigi, University of Bologna, Italy
Peter J. Olver, University of Minnesota, USA
Nicolas Passat, Université de Reims Champagne-Ardenne, France
Xavier Pennec, INRIA, Sophia-Antipolis, France
Gabriel Peyré, CNRS, Université Paris-Dauphine, France
Jean-Charles Pinoli, Ecole Nationale Superieure des Mines de Saint-Etienne
Thomas Pock, Graz University of Technology, Austria
Christian Ronse, Université Louis Pasteur, Strasbourg, France 
Martin Rumpf, University of Bonn, Germany
Naoki Saito, University of California-Davis, USA
Otmar Scherzer, Universität Wien, Austria
Christoph Schnörr, University of Heidelberg, Germany
Carola-Bibiane Schönlieb, University of Cambridge, UK
Stefan Horst Sommer, University of Copenhagen, Denmark
Anuj Srivastava, Florida State University, Tallahassee, USA 
Gabriele Steidl, TU Kaiserslautern, Germany
Peter Sussner, University of Campinas, Brazil
Xue-Cheng Tai, Hong Kong Baptist University, Hong Kong
Chi Keung Tang, Hong Kong University of Science and Technology, Hong Kong
Chrysoula Tsogka, Foundation for Research and Technology - Hellas, Greece
Martin Welk, University for Health Sciences, Medical Informatics and Technology, Austria
Jovisa Zunic, Serbian Academy of Sciences and Arts, Serbia

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For authors and editors

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    2017 Impact Factor
  • 1.927
  • Aims and Scope

    Aims and Scope


    The Journal of Mathematical Imaging and Vision is a technical journal publishing important new developments in mathematical imaging. The journal publishes research articles, invited papers, and expository articles.

    Current developments in new image processing hardware, the advent of multisensor data fusion, and rapid advances in vision research have led to an explosive growth in the interdisciplinary field of imaging science. This growth has resulted in the development of highly sophisticated mathematical models and theories. The journal emphasizes the role of mathematics as a rigorous basis for imaging science. This provides a sound alternative to present journals in this area. Contributions are judged on the basis of mathematical content. Articles may be physically speculative but need to be mathematically sound. Emphasis is placed on innovative or established mathematical techniques applied to vision and imaging problems in a novel way, as well as new developments and problems in mathematics arising from these applications.

    The scope of the journal includes:

    computational models of vision; imaging algebra and mathematical morphology
    mathematical methods in reconstruction, compactification, and coding
    filter theory
    probabilistic, statistical, geometric, topological, and fractal techniques and models in imaging science
    inverse optics
    wave theory.

    Specific application areas of interest include, but are not limited to:

    all aspects of image formation and representation
    medical, biological, industrial, geophysical, astronomical and military imaging
    image analysis and image understanding
    parallel and distributed computing
    computer vision architecture design.

    The journal emphasizes its commitment to present coverage in these areas which span the interest of a global audience. The Editorial Board publishes manuscripts that are well-written and make a significant technical contribution.
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