An input-level dependent approach to color error diffusion

Vishal Monga, Niranjan Damera-Venkata, Brian L. Evans

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations

Abstract

Conventional grayscale error diffusion halftoning produces worms and other objectionable artifacts. Tone dependent error diffusion (Li and Allebach) reduces these artifacts by controlling the diffusion of quantization errors based on the input graylevel. Li and Allebach optimize error filter weights and thresholds for each (input) graylevel based on a human visual system model. This paper extends tone dependent error diffusion to color. In color error diffusion, what color to render becomes a major concern in addition to finding optimal dot patterns. We present a visually optimum design approach for input level (tone) dependent error filters (for each color plane). The resulting halftones reduce traditional error diffusion artifacts and achieve greater accuracy in color rendition.

Original languageEnglish (US)
Pages (from-to)333-343
Number of pages11
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5293
DOIs
StatePublished - Dec 1 2004
EventColor Imaging IX: Processing, Hardcopy, and Applications - San Jose, CA, United States
Duration: Jan 20 2004Jan 22 2004

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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