Design of tone-dependent color-error diffusion halftoning systems

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

Research output: Contribution to journalArticlepeer-review

17 Scopus citations


Grayscale error diffusion introduces nonlinear distortion (directional artifacts and false textures), linear distortion (sharpening), and additive noise. Tone-dependent error diffusion (TDED) reduces these artifacts by controlling the diffusion of quantization errors based on the input graylevel. We present an extension of TDED to color. In color-error diffusion, which color to render becomes a major concern in addition to finding optimal dot patterns. We propose a visually meaningful scheme to train input-level (or tone-) dependent color-error filters. Our design approach employs a Neugebauer printer model and a color human visual system model that takes into account spatial considerations in color reproduction. The resulting halftones overcome several traditional error-diffusion artifacts and achieve significantly greater accuracy in color rendition.

Original languageEnglish (US)
Pages (from-to)198-211
Number of pages14
JournalIEEE Transactions on Image Processing
Issue number1
StatePublished - Feb 2007

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Graphics and Computer-Aided Design


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