• DocumentCode
    2427445
  • Title

    MRC Compression of Compound Documents Using Threshold Segmentation, Iterative Data-Filling and H.264/AVC-INTRA

  • Author

    Zaghetto, A. ; de Queiroz, R.L. ; Mukherjee, D.

  • Author_Institution
    ENE, Univ. de Brasilia, Brasilia
  • fYear
    2008
  • fDate
    16-19 Dec. 2008
  • Firstpage
    679
  • Lastpage
    686
  • Abstract
    The Mixed Raster Content (MRC) ITU document compression standard (T.44) specifies a multi-layer representation of a compound document. It is expected that higher compression can be achieved if more efficient compression standards are used to compress each layer. In this paper we present an MRC compound document codec that uses H.264/AVC operating in INTRA mode to encode Background/Foreground layers and JBIG2 to encode the binary Mask layer. We also present a threshold-based layer segmentation algorithm and an iterative data-filling algorithm for redundant regions. The result is an unrivaled performance for compressing compound documents as demonstrated by our experiments.
  • Keywords
    data compression; document image processing; image coding; image segmentation; iterative methods; H.264/AVC; INTRA mode; JBIG2 standard; background layer encoding; binary mask layer encoding; compound document codec; document compression standard; foreground layer encoding; iterative data-filling; mixed raster content compression; multilayer representation; threshold segmentation; Automatic voltage control; Codecs; Computer graphics; Computer vision; Image coding; Image segmentation; Iterative algorithms; PSNR; Transform coding; Video compression; Compound Documents; H.264/AVC; Mixed Raster Content;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, Graphics & Image Processing, 2008. ICVGIP '08. Sixth Indian Conference on
  • Conference_Location
    Bhubaneswar
  • Print_ISBN
    978-0-7695-3476-3
  • Electronic_ISBN
    978-0-7695-3476-3
  • Type

    conf

  • DOI
    10.1109/ICVGIP.2008.14
  • Filename
    4756135