12 April 2013 Tone-dependent noise model for high-quality halftones
Yik-Hing Fung, Yuk-Hee Chan
Author Affiliations +
Abstract
A digital halftone of blue noise characteristics is preferred as dots in the halftone of a constant input should be isotropically and homogeneously distributed. In practice, the placement of dots is constrained by a sampling grid and hence aliasing happens when the input gray level is in the middle range. To solve this problem, Lau et al. suggested replacing isolated dots by dot clusters to maintain the principal frequency of the output to be 1/2 when this happens. However, this model does not take into account that due to the stochastic nature of the dot distribution there is a considerable amount of energy distributed around the principal frequency and it causes aliasing problems even when the principal frequency of the output is 1/2 . Here, we present a new noise model that takes this factor into account. A halftoning algorithm is then proposed to generate halftones that satisfy the new noise model. By comparing its performance with that of some other algorithms that are proposed based on the traditional blue noise model and Lau et al.’s noise model, one can see that the proposed noise model can be a better model to describe the noise characteristics of a high-quality halftone.
© 2013 SPIE and IS&T 0091-3286/2013/$25.00 © 2013 SPIE and IS&T
Yik-Hing Fung and Yuk-Hee Chan "Tone-dependent noise model for high-quality halftones," Journal of Electronic Imaging 22(2), 023004 (12 April 2013). https://doi.org/10.1117/1.JEI.22.2.023004
Published: 12 April 2013
Lens.org Logo
CITATIONS
Cited by 15 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Halftones

Diffusion

Algorithm development

Anisotropy

Image quality

Visualization

Binary data

RELATED CONTENT


Back to Top