Perceptual quality of reconstructed medical images on projection-based light field displays

  • Peter A. Kara
  • , Peter T. Kovacs
  • , Suren Vagharshakyan
  • , Maria G. Martini
  • , Sandor Imre
  • , Attila Barsi
  • , Kristof Lackner
  • , Tibor Balogh

    Research output: Contribution to conferencePaperpeer-review

    Original languageEnglish
    Publication statusPublished - Jun 2016
    EventEAI International Conference on Mobile Medical Multimedia Technologies, Applications and Services (M3Apps) - Budapest, Hungary
    Duration: 14 Jun 201615 Jun 2016

    Conference

    ConferenceEAI International Conference on Mobile Medical Multimedia Technologies, Applications and Services (M3Apps)
    Period14/06/1615/06/16

    Bibliographical note

    Note: Published on pp.476-483 in 'eHealth 360°: International Summit on eHealth, Budapest, Hungary, June 14-16, 2016, Revised Selected Papers (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering'), Volume 181 2017. ISSN:1867-8211 / 1867-822X (electronic), ISBN:9783319496559.

    The work in this paper was supported by the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 643072, Network QoE-Net and the PROLIGHT-IAPP Marie Curie Action of the People programme of the European Union‘s Seventh
    Framework Programme, REA grant agreement 32449.

    Keywords

    • Computer science and informatics
    • Perceptual quality of reconstructed medical images on projection-based light field displays

      Kara, P. A., Kovacs, P. T., Vagharshakyan, S., Martini, M. G., Imre, S., Barsi, A., Lackner, K. & Balogh, T., Jun 2016, Published on pp.476-483 in 'eHealth 360°: International Summit on eHealth, Budapest, Hungary, June 14-16, 2016, Revised Selected Papers (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering'), Volume 181 2017. ISSN:1867-8211 / 1867-822X (electronic), ISBN:9783319496559. The work in this paper was supported by the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 643072, Network QoE-Net and the PROLIGHT-IAPP Marie Curie Action of the People programme of the European Union‘s Seventh Framework Programme, REA grant agreement 32449.. p. 476-483

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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