Digital halftoning: A model-based perspective

Thrasyvoulos N. Pappas*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Model-based halftoning techniques exploit the properties of the display device and the human visual system to maximize the quality of the displayed images. They rely on accurate models of the display and human perception. The focus of this article is on printers (both black and white and color) but similar techniques can be applied to other display devices. We review two model-based techniques, the modified error diffusion algorithms and the least-squares model-based algorithm. Both algorithms produce images with high spatial resolution and visually pleasant textures. We also review the use of printer and eye models in blue-noise screening techniques, which attempt to approximate the performance of error diffusion with minimal computation. We examine the performance of these halftoning techniques using both model-based quality metrics and subjective evaluations.

Original languageEnglish (US)
Pages (from-to)110-120
Number of pages11
JournalInternational Journal of Imaging Systems and Technology
Volume7
Issue number2
DOIs
StatePublished - Jan 1 1996

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Software
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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