• DocumentCode
    3253981
  • Title

    Vector run-length coding of Bi-level images

  • Author

    Wang, Yao ; Wu, Jen-Ming

  • Author_Institution
    Dept. of Electr. Eng., Polytech. Univ., Brooklyn, NY, USA
  • fYear
    1992
  • fDate
    24-27 March 1992
  • Firstpage
    289
  • Lastpage
    298
  • Abstract
    Run-length coding (RC) is a simple and yet quite effective technique for bi-level image coding. A problem with the conventional RC which describes an image by alternating runs of white and black pixels is that it only exploits the redundancy within the same scan line. The modified relative address run-length coding (MRC) used in Group III facsimile transmission is more efficient by making use of the correlation between adjacent lines. The paper presents a vector run-length coding (VRC) technique which exploits the spatial redundancy more thoroughly by representing images with vector or black patterns and vector run-lengths. Depending on the coding method for the block patterns, various algorithms have been developed, including single run-length VRC (SVRC), double run-length VRC (DVRC), and block VRC (BVRC). The conventional RC is a special case of BVRC with block size of 1*1. The proposed methods have been applied to the CCITT standard test documents and the best result has been obtained with the BVRC method. With a block dimension of 4*4, it has yielded compression gains higher than the MRC with k=4 by 15.5% and 22.7%, when using a single and multiple run-length codebooks, respectively.<>
  • Keywords
    image coding; CCITT standard test documents; Group III facsimile transmission; algorithms; bilevel images; black patterns; block VRC; block dimension; compression gains; correlation; double run-length VRC; image coding; modified relative address run-length coding; multiple run-length codebooks; single run length codebook; single run-length VRC; spatial redundancy; vector patterns; vector run length coding; Facsimile; Image coding; Image segmentation; Product codes; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 1992. DCC '92.
  • Conference_Location
    Snowbird, UT, USA
  • Print_ISBN
    0-8186-2717-4
  • Type

    conf

  • DOI
    10.1109/DCC.1992.227452
  • Filename
    227452