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Perceptual Quality of Reconstructed Medical Images on Projection-Based Light Field Displays

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Abstract

With the appearance of light field displays, users may enjoy a much more natural sensation of 3D experience compared to prior technologies. This type of autostereoscopic, glasses-free visualization allows medical applications to improve both in usability and efficiency. The high angular resolution of medical images is resource-consuming, but can only be reduced while maintaining a sufficient level of overall quality through continuous parallax. A dense image set can also be achieved by applying the synthesis of intermediate views. In this paper we provide the analysis of the effect of reduced angular resolution and image synthesis on Quality of Experience in medical applications. Two separate series of subjective quality assessment measurements were conducted with 20 participants each, one focusing on angular resolution reduction and another one comparing the effect of such reductions with the quality of reconstructed images.

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Acknowledgments

The work in this paper was funded from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 643072, Network QoE-Net. The research leading to these results has received funding from the PROLIGHT-IAPP Marie Curie Action of the People programme of the European Union’s Seventh Framework Programme, REA grant agreement 32449.

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Correspondence to Peter A. Kara .

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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Kara, P.A. et al. (2017). Perceptual Quality of Reconstructed Medical Images on Projection-Based Light Field Displays. In: Giokas, K., Bokor, L., Hopfgartner, F. (eds) eHealth 360°. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 181. Springer, Cham. https://doi.org/10.1007/978-3-319-49655-9_58

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  • DOI: https://doi.org/10.1007/978-3-319-49655-9_58

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49654-2

  • Online ISBN: 978-3-319-49655-9

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