• DocumentCode
    2026568
  • Title

    How does Subsampling of Multi-View Images Affect the Rate-Distortion Performance?

  • Author

    Takahashi, Keita ; Naemura, Takeshi

  • Author_Institution
    Tokyo Univ., Bunkyo-ku
  • Volume
    1
  • fYear
    2007
  • fDate
    Sept. 16 2007-Oct. 19 2007
  • Abstract
    This paper introduces a new theoretical model on the rate-distortion performance in transmitting multi-view image data. To reduce the data amount, a practical solution is just decreasing the number of images by subsampling. The questions we focus on are (i) how much bit-rate can be reduced, and (ii) how much additional distortion would be caused, by the subsampling of images. In our theoretical model, the rate-distortion theory and the plenoptic sampling theory are combined to consider the relation between the sampling condition (the cameras´ interval) and the compression efficiency. Numerical simulations which show the theoretical lower bounds for (i) and (ii) are presented with discussions.
  • Keywords
    data compression; error statistics; image coding; image sampling; rate distortion theory; bit-rate error; compression efficiency; image coding; multiview image subsampling; plenoptic sampling theory; rate-distortion performance; Cameras; Image coding; Image reconstruction; Image sampling; Image storage; Information science; Numerical simulation; Rate distortion theory; Rate-distortion; Signal sampling; Image coding; Interpolation; Rate distortion theory; Signal sampling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2007. ICIP 2007. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-1437-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2007.4378924
  • Filename
    4378924