• DocumentCode
    3433286
  • Title

    An improved progressive lossy-to-lossless coding method for arbitrarily-sampled image data

  • Author

    Adams, M.D.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Victoria, Victoria, BC, Canada
  • fYear
    2013
  • fDate
    27-29 Aug. 2013
  • Firstpage
    79
  • Lastpage
    83
  • Abstract
    A method for the progressive lossy-to-lossless coding of arbitrarily-sampled image data is proposed. Through experimental results, the proposed method is demonstrated to have a rate-distortion performance that is vastly superior to that of the state-of-the-art image-tree (IT) coding scheme. In particular, at intermediate rates (i.e., in progressive decoding scenarios), the proposed method yields image reconstructions with a peak-signal-to-noise ratio that is much higher (sometimes by several dB) than the IT scheme, while simultaneously achieving a slightly lower lossless rate.
  • Keywords
    image coding; image reconstruction; tree codes; arbitrarily-sampled image data; image reconstructions; peak-signal-to-noise ratio; progressive lossy-to-lossless coding; state-of-the-art image-tree coding; Approximation methods; Decoding; Encoding; Image coding; Image reconstruction; PSNR; Transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Computers and Signal Processing (PACRIM), 2013 IEEE Pacific Rim Conference on
  • Conference_Location
    Victoria, BC
  • ISSN
    1555-5798
  • Type

    conf

  • DOI
    10.1109/PACRIM.2013.6625453
  • Filename
    6625453