• DocumentCode
    3481205
  • Title

    Improved layer processing for MRC compression of scanned documents

  • Author

    Zaghetto, Alexandre ; De Queiroz, Ricardo L.

  • Author_Institution
    Univ. de Brasilia, Brasilia, Brazil
  • fYear
    2009
  • fDate
    7-10 Nov. 2009
  • Firstpage
    1993
  • Lastpage
    1996
  • Abstract
    The Mixed Raster Content (MRC) document compression is a well documented standard. Its efficiency for representing sharp text and graphics over a background has been extensively presented. Scanned documents, however, are difficult to be dealt with because of soft transitions. In one of our previous works we presented a pre/post-processing algorithm for MRC compression of scanned images that sharpens the edges, before compression, and softens it again, after reconstruction. The present paper uses the same basic idea but describes three new features that improve, in a rate-distortion sense, the compression performance. First, the real bitrate is used to determine the pre/post-processing parameters. Second, the mask layer and the edge sharpening/softening map have their quality improved and, third, layer resolution change has been explored. Experimental results show that the method not only provides higher subjective quality, but it can yield up to 2.5 dB gains in PSNR against single coder approaches, in the compression ranges of interest.
  • Keywords
    data compression; document image processing; image coding; edge sharpening map; edge softening map; graphics representation; improved layer processing; mask layer; mixed raster content document compression; scanned documents; sharp text representation; Bit rate; Codecs; Color; Gain; Graphics; Image coding; Image reconstruction; Pixel; Rate-distortion; Softening; Document compression; document model; edge processing; mixed raster content;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2009 16th IEEE International Conference on
  • Conference_Location
    Cairo
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-5653-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2009.5413755
  • Filename
    5413755