Paper
18 January 2010 Memory efficient hierarchical error diffusion
Zhen He, Zhigang Fan
Author Affiliations +
Proceedings Volume 7528, Color Imaging XV: Displaying, Processing, Hardcopy, and Applications; 75280X (2010) https://doi.org/10.1117/12.836032
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States
Abstract
Hierarchical Error Diffusion (HED) developed in [14] yields high-quality color halftone by explicitly designing three critical factors: dot overlapping, positioning, and coloring. However, HED requires more error memory buffer than the conventional error diffusion algorithms since the pixel error is diffused in dot-color domain, instead of colorant domain. This can potentially be an issue for certain low-cost hardware implementation. This paper develops a memory-efficient HED algorithm (MEHED). To achieve this goal, the pixel error in dot-color domain is converted backward and diffused to future pixels in input colorant domain, say, CMYK for print applications. Since the error-augmented pixel value is no longer bounded within the range [0, 1.0], the dot overlapping control algorithm developed in [14] needs to be generalized to coherently handle the pixel density of outside the normal range. The key is to carefully split the modified pixel density into three parts: negative, regular, and surplus densities. The determination of regular and surplus densities needs to be dependent on the density of K channel, in order to maintain local color and avoid halftone texture artifact. The resulting dot-color densities are serves as the input to hierarchical thresholding and coloring steps to generate final halftone output. Experimental results demonstrate that MEHED achieves similar image quality compared to HED.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhen He and Zhigang Fan "Memory efficient hierarchical error diffusion", Proc. SPIE 7528, Color Imaging XV: Displaying, Processing, Hardcopy, and Applications, 75280X (18 January 2010); https://doi.org/10.1117/12.836032
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KEYWORDS
Halftones

Diffusion

Algorithm development

Quantization

Image quality

CMYK color model

Optical filters

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