• DocumentCode
    590888
  • Title

    Preserving features in multilevel halftones

  • Author

    Lai-Yan Wong ; Yuk-Hee Chan

  • Author_Institution
    Center of Multimedia Signal Process., Hong Kong Polytech. Univ., Hong Kong, China
  • fYear
    2012
  • fDate
    3-6 Dec. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Conventional threshold decomposition (TD) based multilevel halftoning algorithms decompose an input image into layers, halftone them sequentially with a binary halftoning algorithm, and combine their binary halftones to produce the final multilevel halftone. When these algorithms are exploited to produce multilevel halftones, bright spatial features are generally difficult to preserve as darker pixels in the final multilevel output are positioned first. We propose a solution to solve this problem in this paper. Simulation result shows that the proposed method can provide an output of better quality as compared with conventional TD-based algorithms.
  • Keywords
    image segmentation; binary halftones; binary halftoning algorithm; multilevel halftones; multilevel halftoning algorithms; spatial features; threshold decomposition; Educational institutions; Filtering algorithms; Indexes; Signal processing algorithms; Simulation; Stacking; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal & Information Processing Association Annual Summit and Conference (APSIPA ASC), 2012 Asia-Pacific
  • Conference_Location
    Hollywood, CA
  • Print_ISBN
    978-1-4673-4863-8
  • Type

    conf

  • Filename
    6412035