• DocumentCode
    1445363
  • Title

    On the reconstruction of quadtree data

  • Author

    Knipe, Jason ; Li, Xiaobo

  • Author_Institution
    PrePrint Inc., Edmonton, Alta., Canada
  • Volume
    7
  • Issue
    12
  • fYear
    1998
  • fDate
    12/1/1998 12:00:00 AM
  • Firstpage
    1653
  • Lastpage
    1660
  • Abstract
    Image compression schemes consist of compression and decompression phases. Often, the decompression phase includes mechanisms for improving the quality of the resulting image. Quadtree compression is one such type of compression. Reconstructed quadtree images can be blocky because of the nature of the compression method, unless additional processing, generally smoothing, is performed. We propose improvements over the reconstruction method described by Shusterman and Feder (see ibid., vol.3, p.207-15, 1994). The improvements consist of the introduction of a simpler and more effective 2×2 reconstruction filter to replace the suggested 3×3 filter, and the addition of a reconstruction threshold to preserve image edges. This method is compared experimentally to the original algorithm and also to JPEG compression in terms of complexity and resulting image quality
  • Keywords
    computational complexity; data compression; filtering theory; image coding; image reconstruction; quadtrees; JPEG compression; complexity; decompression; image compression; image edge preservation; image quality; quadtree data reconstruction; reconstructed quadtree images; reconstruction filter; reconstruction threshold; smoothing; Bit rate; Filters; Image coding; Image quality; Image reconstruction; Iterative algorithms; Reconstruction algorithms; Smoothing methods; Testing; Transform coding;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/83.730377
  • Filename
    730377