Low-complexity high-performance multiscale error diffusion technique for digital halftoning

Yik Hing Fung, Ka Chun Lui, Yuk Hee Chan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

12 Citations (Scopus)

Abstract

Multiscale error diffusion (MED) is superior to conventional error diffusion algorithms as it can eliminate directional hysteresis completely. However, due to its frame-oriented processing nature, the computational complexity is comparatively high. Furthermore, though theoretically MED can remove directional hysteresis by eliminating predefined scanning paths and causal filters, no comprehensive quantitative analysis on this issue can be found in the literature. A fast MED algorithm is proposed and a detailed analysis on the performance of various MED algorithms including the proposed one are provided. Analysis and simulation results show that the proposed algorithm can reduce the computational complexity without sacrificing the image quality as compared with conventional MED algorithms. The proposed algorithm also supports parallel processing and hence can further reduce the processing time.
Original languageEnglish
Article number013010
JournalJournal of Electronic Imaging
Volume16
Issue number1
DOIs
Publication statusPublished - 1 Jan 2007

ASJC Scopus subject areas

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

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