• DocumentCode
    2107044
  • Title

    Lossy compression of clustered-dot halftones

  • Author

    Kam, Rick A Vander ; Gray, Robert M.

  • Author_Institution
    Inf. Syst. Lab., Stanford Univ., CA, USA
  • Volume
    3
  • fYear
    1994
  • fDate
    13-16 Nov 1994
  • Firstpage
    836
  • Abstract
    We propose a coding algorithm for lossy compression of digital halftones produced by clustered-dot dithering. Our scheme is based on pixel ordering and run-length coding, and has small memory and computation requirements. Data reduction techniques give an efficient, but imperfect, representation of the run lengths, allowing low-rate coding along with a good approximation to the original dot structure. Experiments with 1024×1024 images, 8×8 dithering cells, and 600 dpi printing have shown that the algorithm maintains good image quality while achieving rates of about 0.1 bits per pixel
  • Keywords
    Huffman codes; data compression; data structures; image coding; image representation; printing; runlength codes; Huffman codes; algorithm; clustered-dot dithering; clustered-dot halftones; coding algorithm; data reduction techniques; digital halftones; dithering cells; dot structure approximation; experiments; image coding; image quality; lossy compression; low-rate coding; pixel ordering; printing; run-length coding; small memory requirement; Clustering algorithms; Decoding; Facsimile; Gray-scale; Image coding; Image quality; Information systems; Matrix decomposition; Pixel; Printing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
  • Conference_Location
    Austin, TX
  • Print_ISBN
    0-8186-6952-7
  • Type

    conf

  • DOI
    10.1109/ICIP.1994.413729
  • Filename
    413729