Green-noise halftoning with dot diffusion

Stefaan Lippens; Wilfried Philips

doi:10.1117/12.702821

27 February 2007 Green-noise halftoning with dot diffusion

Stefaan Lippens, Wilfried Philips

Proceedings Volume 6497, Image Processing: Algorithms and Systems V; 64970V (2007) https://doi.org/10.1117/12.702821
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

Abstract

Dot diffusion is a halftoning technique that is based on the traditional error diffusion concept, but offers a high degree of parallel processing by its block based approach. Traditional dot diffusion however suffers from periodicity artifacts. To limit the visibility of these artifacts, we propose grid diffusion, which applies different class matrices for different blocks. Furthermore, in this paper we will discuss two approaches in the dot diffusion framework to generate green-noise halftone patterns. The first approach is based on output dependent feedback (hysteresis), analogous to the standard green-noise error diffusion techniques. We observe that the resulting halftones are rather coarse and highly dependent on the used dot diffusion class matrices. In the second approach we don't limit the diffusion to the nearest neighbors. This leads to less coarse halftones, compared to the first approach. The drawback is that it can only cope with rather limited cluster sizes. We can reduce these drawbacks by combining the two approaches.

Citation Download Citation

Stefaan Lippens and Wilfried Philips "Green-noise halftoning with dot diffusion", Proc. SPIE 6497, Image Processing: Algorithms and Systems V, 64970V (27 February 2007); https://doi.org/10.1117/12.702821

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