• DocumentCode
    1332291
  • Title

    Digital color halftoning with generalized error diffusion and multichannel green-noise masks

  • Author

    Lau, Daniel L. ; Arce, Gonzalo R. ; Gallagher, Neal C.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Delaware Univ., Newark, DE, USA
  • Volume
    9
  • Issue
    5
  • fYear
    2000
  • fDate
    5/1/2000 12:00:00 AM
  • Firstpage
    923
  • Lastpage
    935
  • Abstract
    In this paper, we introduce two novel techniques for digital color halftoning with green-noise-stochastic dither patterns generated by homogeneously distributing minority pixel clusters. The first technique employs error diffusion with output-dependent feedback where, unlike monochrome image halftoning, an interference term is added such that the overlapping of pixels of different colors can be regulated for increased color control. The second technique uses a green-noise mask, a dither array designed to create green-noise halftone patterns, which has been constructed to also regulate the overlapping of different colored pixels. As is the case with monochrome image halftoning, both techniques are tunable, allowing for large clusters in printers with high dot-gain characteristics, and small clusters in printers with low dot-gain characteristics
  • Keywords
    image colour analysis; printers; color control; digital color halftoning; dither array; generalized error diffusion; green-noise-stochastic dither patterns; high dot-gain characteristic printers; interference term; low dot-gain characteristic printers; minority pixel clusters; multichannel green-noise masks; output-dependent feedback; overlapping; Frequency modulation; Humans; Interference; Optical distortion; Optical feedback; Output feedback; Pixel; Printers; Spatial resolution; Stochastic processes;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/83.841537
  • Filename
    841537