A multiscale error diffusion algorithm for green noise digital halftoning

Yik Hing Fung, Yuk Hee Chan

Research output: Journal article publicationConference articleAcademic researchpeer-review

3 Citations (Scopus)


Multiscale error diffusion (MED) is superior to conventional error diffusion algorithm as it can eliminate directional hysteresis completely and possesses good blue noise characteristics. However, due to its filter design, it is not suitable for printing processes which suffer instable dot generation and large dot gain. This paper presents a multiscale error diffusion algorithm for green noise digital halftoning. Analysis and simulation results show that the proposed algorithm not only provides outputs of green noise characteristics, but eliminates pattern artifacts and preserve image details as well.
Original languageEnglish
Pages (from-to)2258-2262
Number of pages5
JournalEuropean Signal Processing Conference
Publication statusPublished - 1 Dec 2009
Event17th European Signal Processing Conference, EUSIPCO 2009 - Glasgow, United Kingdom
Duration: 24 Aug 200928 Aug 2009

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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