• DocumentCode
    1915924
  • Title

    Directional interpolation pyramids for still image compression

  • Author

    Boulgouris, Nikolaos V. ; Strintzis, Michael G.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Aristotelian Univ. of Thessaloniki, Greece
  • fYear
    1998
  • fDate
    20-23 Oct 1998
  • Firstpage
    185
  • Lastpage
    190
  • Abstract
    Reduced pyramids, i.e. pyramids without analysis filters are known to produce excellent results when used for lossless signal and image compression. The paper introduces a novel method for the construction of reduced pyramids with synthesis filters adapted to the orientation of local image features. It is shown that this construction produces more accurate interpolation than conventional reduced pyramids. It also has the added advantage of producing lossy replicas of the original, which, at lower resolutions lack undesirable artifacts near edges. Experimental evaluation shows that the resulting method produces results comparable and often superior to those of the most efficient known algorithms for progressive lossless image coding
  • Keywords
    data compression; image coding; interpolation; algorithms; artifacts; directional interpolation pyramids; local image feature orientation; lossless image compression; lossless signal compression; lossy replicas; progressive lossless image coding; reduced pyramids; still image compression; synthesis filters; Filters; Image analysis; Image coding; Image communication; Image reconstruction; Image resolution; Image storage; Interpolation; Propagation losses; Signal resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Graphics, Image Processing, and Vision, 1998. Proceedings. SIBGRAPI '98. International Symposium on
  • Conference_Location
    Rio de Janeiro
  • Print_ISBN
    0-8186-9215-4
  • Type

    conf

  • DOI
    10.1109/SIBGRA.1998.722749
  • Filename
    722749