Optimizing the error diffusion filter for blue noise halftoning with multiscale error diffusion

Yik Hing Fung, Yuk Hee Chan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

17 Citations (Scopus)


A good halftoning output should bear a blue noise characteristic contributed by isotropically-distributed isolated dots. Multiscale error diffusion (MED) algorithms try to achieve this by exploiting radially symmetric and noncausal error diffusion filters to guarantee spatial homogeneity. In this brief, an optimized diffusion filter is suggested to make the diffusion close to isotropic. When it is used with MED, the resulting output has a nearly ideal blue noise characteristic.
Original languageEnglish
Article number6257485
Pages (from-to)413-417
Number of pages5
JournalIEEE Transactions on Image Processing
Issue number1
Publication statusPublished - 2 Jan 2013


  • Blue noise
  • error diffusion
  • halftoning
  • multiscale error diffusion (MED)
  • printing

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design

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