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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
Founding Editor: Gerhard X. Ritter

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, FranceJean-François Aujol, Université Bordeaux, France; João Pedro Barreto, University of Coimbra, Portugal; Joost Batenburg, CWI, Amsterdam, The Netherlands; 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 KongYunmei Chen, University of Florida, USA; Leo Dorst, University of Amsterdam, The Netherlands; Remco Duits, TU Eindhoven, The Netherlands; Michael Felsberg, Linköping University, Sweden; Jürgen Gall, University of Bonn; Guy Gilboa, Technion, Hafia, Israel; Manuel Graña, University of the Basque Country, Spain; Lewis Griffin, UC London, UK; Artyom M. Grigoryan, University of Texas at San Antonio; Patrick Guidotti, University of California, Irvine; 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; Riccardo March, Consiglio Nazionale delle Ricerche, Italy; Jan Modersitzki, University of Lübeck, Germany; Jean-Michel Morel, CMLA, Ecole Normale Supérieure de Cachan, France; Serena Morigi, University of Bologna, Italy; Mila Nikolova, CNRS, Ecole Normale Supérieure de Cachan, France; 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, Universite Louis Pasteur, Strasbourg; Martin Rumpf, University of Bonn, Germany; Naoki Saito, University of California-Davis, USA; Otmar Scherzer, Universität Wien, AustriaChristoph Schnörr, University of Heidelberg, Germany; Carola-Bibiane Schönlieb, University of Cambridge, UKStefan Horst Sommer, University of Copenhagen, Denmark; Anuj Srivastava, Florida State University, Tallahassee; Gabriele Steidl, TU Kaiserslautern, Germany; Peter Sussner, University of Campinas, Brazil; Xue-Cheng Tai, Hong Kong Baptist University; Chi Keung Tang, Hong Kong University of Science and Technology, Hong Kong; Chrysoula Tsogka, Foundation for Research and Technology - Hellas, GreeceMartin Welk, University for Health Sciences, Medical Informatics and Technology, Austria; Jovisa Zunic, Serbian Academy of Sciences and Arts, Serbia


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  • 1.994
  • 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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