Green noise digital halftoning

Daniel Leo Lau, Gonzalo R. Arce, Neal C. Gallagher

Research output: Contribution to conferencePaperpeer-review

3 Scopus citations


In this paper, we introduce the concept of green-noise-the mid-frequency component of white-noise-and its advantages over blue-noise for digital halftoning. Unlike blue-noise, which creates the illusion of continuous tone by spreading the minority pixels of a binary dither pattern as homogeneously as possible, green-noise forms minority pixel clusters which are themselves distributed as homogeneously as possible. By clustering pixels, green-noise patterns are less susceptible to image degradation from printer distortions such as dot-overlap (the overlapping of a printed dot with its nearest neighbors), and by adjusting the average number of pixels per cluster, green-noise patterns are tunable to specific printer characteristics. Using both spectral and spatial statistics, we establish models for ideal green-noise patterns.

Original languageEnglish
Number of pages5
StatePublished - 1998
EventProceedings of the 1998 International Conference on Image Processing, ICIP. Part 2 (of 3) - Chicago, IL, USA
Duration: Oct 4 1998Oct 7 1998


ConferenceProceedings of the 1998 International Conference on Image Processing, ICIP. Part 2 (of 3)
CityChicago, IL, USA

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering


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