• DocumentCode
    3415875
  • Title

    A new compression technique for binary text images

  • Author

    Quddus, Azhar ; Fahmy, Moustafa M.

  • Author_Institution
    Dept. of Electr. Eng., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
  • fYear
    1997
  • fDate
    1-3 Jul 1997
  • Firstpage
    194
  • Lastpage
    198
  • Abstract
    In this paper a new lossless binary text image coding technique based on overlapping partitioning is presented. In this technique, the black regions in the image are first partitioned into a number of fully overlapping and nonoverlapping rectangles. After partitioning, the two opposite vertices of each rectangle are compressed using a simple encoding technique. It has been demonstrated that the compression ratios obtained for different text images are better than the nonoverlapping partitioning
  • Keywords
    data compression; image coding; image segmentation; black regions; compression ratios; compression technique; fully overlapping rectangles; lossless binary text image coding technique; nonoverlapping rectangles; overlapping partitioning; vertices; Arithmetic; Block codes; Decoding; Focusing; Image coding; Lapping; Minerals; Partitioning algorithms; Petroleum; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers and Communications, 1997. Proceedings., Second IEEE Symposium on
  • Conference_Location
    Alexandria
  • Print_ISBN
    0-8186-7852-6
  • Type

    conf

  • DOI
    10.1109/ISCC.1997.615995
  • Filename
    615995