• DocumentCode
    3355746
  • Title

    Downsampling Based Multiple Description Coding with Optimal Reconstruction Filters

  • Author

    Yapici, Y. ; Demir, Begum ; ve Oguzhan Urhan, S.E.

  • Author_Institution
    Elektron. ve Haberlesme Muhendisligi Bolumu Veziroglu Yerleskesi, Kocaeli Univ., Izmit
  • fYear
    2007
  • fDate
    11-13 June 2007
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    In this paper, a multiple description image coding scheme is proposed to facilitate the transmission of images over media with possible packet loss. The proposed method is based on finding the optimal reconstruction filter coefficients that will be used to combine the multiple descriptions, based on least squares minimization. Firstly, the original image is down sampled and each sub-image is coded using standard JPEG. These decoded images are then mapped to the original image size using the optimal filters. Multiple descriptions consist of coded down sampled images and the corresponding optimal reconstruction filter coefficients. It is shown that the proposed method gives superior results compared with standard interpolation filters (i.e .bicubic and bilinear).
  • Keywords
    decoding; filtering theory; image coding; image sampling; least squares approximations; downsampling based multiple description image coding; image decoding; image sampling; least squares minimization; optimal reconstruction filters; original image size; standard JPEG; standard interpolation filters; Code standards; Discrete cosine transforms; Filters; Image coding; Image reconstruction; Least squares methods; Minimization methods; Modulation coding; Propagation losses; Pulse modulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications, 2007. SIU 2007. IEEE 15th
  • Conference_Location
    Eskisehir
  • Print_ISBN
    1-4244-0719-2
  • Electronic_ISBN
    1-4244-0720-6
  • Type

    conf

  • DOI
    10.1109/SIU.2007.4298731
  • Filename
    4298731