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

نویسندگان

  • Daniel Leo Lau
  • Gonzalo R. Arce
  • Neal C. Gallagher
چکیده

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.

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عنوان ژورنال:
  • IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

دوره 9 5  شماره 

صفحات  -

تاریخ انتشار 2000