• DocumentCode
    1977765
  • Title

    Digital Halftoning and the Application to Remote Sensing Images

  • Author

    Li, Wu ; Wan, Oxia ; Jian, Lu

  • Author_Institution
    Sch. of Media & Commun., Shenzhen Polytech., Shenzhen
  • Volume
    6
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    137
  • Lastpage
    140
  • Abstract
    Most printing devices, such as traditional printing machine and digital printers, are restricted to very few colors. The continuous-tone images should therefore be transformed into binary ones before being printed. The techniques doing this transformation are referred to as digital halftoning. Conventionally, digital halftoning is accomplished by either charging the size of printed dots or changing the relative density of dots on the page. These two methods are analogous to amplitude modulation (AM) or frequency modulation (FM) used in communications. The FM halftoning generally reproduce the details of an image better than AM halftoning. The AM halftoning on the other hand give rise to more homogeneous results when the gray tones of the original image vary slowly. But, these halftoning methods brought problems such as Moire, dot gain, halftone rosette patterns, difficulty of controlling the quality of prints, etc. Now, hybrid halftoning can solve most of the common problems. In this paper we present AM halftoning, FM halftoning and hybrid halftoning. By comparing the three methods of their applications on remote sensing image, we can conclude that hybrid halftoning method is the best way to print remote sensing images.
  • Keywords
    image colour analysis; AM halftoning; FM halftoning; amplitude modulation; continuous-tone image; digital halftoning; frequency modulation; gray tones; hybrid halftoning; remote sensing image; Amplitude modulation; Application software; Computer science; Digital modulation; Frequency modulation; Packaging; Printing; Remote sensing; Software engineering; Software packages; AM; Digital Halftoning; FM; Hybrid Halftoning; Remote Sensing Image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering, 2008 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3336-0
  • Type

    conf

  • DOI
    10.1109/CSSE.2008.1317
  • Filename
    4723215