Blue noise digital color halftoning with multiscale error diffusion

Yik Hing Fung, Yuk Hee Chan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

4 Citations (Scopus)


A recent trend in color halftoning is to explicitly control color overlapping, dot positioning, and dot coloring in different stages of the halftoning process. As feature-preserving multiscale error diffusion (FMED) shows its capability and flexibility in dot positioning in both binary and multilevel halftoning applications, it naturally becomes a potential candidate in the development of new color halftoning algorithms. This paper presents an FMED-based color halftoning algorithm developed based on the aforementioned strategy. In contrast to the algorithms that adopt the same strategy, the proposed algorithm has no bias for specific Neugebauer primaries in dot coloring and has no fixed scanning path to place dots in dot positioning. These features allow the algorithm to place dots of the correct colors on the right positions with less constraint. Hence, the algorithm is better able to preserve image features.
Original languageEnglish
Article number063013
JournalJournal of Electronic Imaging
Issue number6
Publication statusPublished - 1 Nov 2014


  • Blue noise.
  • Color
  • Color error diffusion
  • Halftoning
  • Multiscale error diffusion
  • Multiscale processing
  • Printing

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Computer Science Applications
  • Electrical and Electronic Engineering


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