• DocumentCode
    270215
  • Title

    Performance analysis in Lytro camera: Empirical and model based approaches to assess refocusing quality

  • Author

    Damghanian, M. ; Olsson, R. ; Sjöström, Marten

  • Author_Institution
    Dept. of Inf. & Commun. Syst., Mid Sweden Univ., Sundsvall, Sweden
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    559
  • Lastpage
    563
  • Abstract
    In this paper we investigate the performance of Lytro camera in terms of its refocusing quality. The refocusing quality of the camera is related to the spatial resolution and the depth of field as the contributing parameters. We quantify the spatial resolution profile as a function of depth using empirical and model based approaches. The depth of field is then determined by thresholding the spatial resolution profile. In the model based approach, the previously proposed sampling pattern cube (SPC) model for representation and evaluation of the plenoptic capturing systems is utilized. For the experimental resolution measurements, camera evaluation results are extracted from images rendered by the Lytro full reconstruction rendering method. Results from both the empirical and model based approaches assess the refocusing quality of the Lytro camera consistently, highlighting the usability of the model based approaches for performance analysis of complex capturing systems.
  • Keywords
    cameras; image representation; image resolution; Lytro camera; camera evaluation; depth of field; empirical based approach; image representation; model based approach; performance analysis; plenoptic capturing systems; refocusing quality; sampling pattern cube model; spatial resolution profile; Analytical models; Arrays; Cameras; Lenses; Rendering (computer graphics); Spatial resolution; Plenoptic capture; camera evaluation; resolution analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6853658
  • Filename
    6853658