1 January 1994 Modified approach to the construction of a blue noise mask
Meng Yao, Kevin J. Parker
Author Affiliations +
Abstract
The blue noise mask (BNM) is a halftone screen that produces unstructured, visually pleasing halftone images. Since it is a point process, halftoning using the BNM can be implemented considerably faster than error diffusion and other algorithms. However, in the construction of the original BNM, a number of constraints were used to limit its characteristics in the spatial and frequency domains. These constraints were not efficient to compute and required adaptability to all gray levels in the construction process. The original BNM also contained some small but unwanted low-frequency components at some gray levels. In this paper, we present a revised approach to the generation of blue noise patterns and the construction of BNMs employing more efficient computations and eliminating more unwanted residual low-frequency components. Psychovisual evaluation shows that dithering with the new BNM gives excellent results and its rating is statistically indistinguishable from that of error diffusion with serpentine raster and perturbed weights.
Meng Yao and Kevin J. Parker "Modified approach to the construction of a blue noise mask," Journal of Electronic Imaging 3(1), (1 January 1994). https://doi.org/10.1117/12.165114
Published: 1 January 1994
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CITATIONS
Cited by 33 scholarly publications and 10 patents.
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KEYWORDS
Binary data

Diffusion

Halftones

Linear filtering

Visualization

Gaussian filters

Digital filtering

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