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Neugebauer Models for Color Error Diffusion Halftoning

Department of Communication Design Science, Kyushu University, Fukuoka 815-8540, Japan
Author to whom correspondence should be addressed.
Received: 4 March 2020 / Revised: 14 April 2020 / Accepted: 16 April 2020 / Published: 17 April 2020
In this paper, we propose a method for halftoning color images based on an error diffusion technique, a color design criterion and Neugebauer models for expressing colors. For a natural extension of the conventional method for grayscale error diffusion to its color version, we first reformulate grayscale error diffusion with a one-dimensional Neugebauer model. Then we increase the dimension of the model to derive a color error diffusion method based on a three-dimensional Neugebauer model in RGB (red, green and blue) color space. Moreover, we propose a sparse Neugebauer model based on a color design criterion, or the minimal brightness variation criterion (MBVC), from which we derive a sparse Neugebauer model-based error diffusion method. Experimental results show that color halftone images produced by the proposed methods preserve the color contents in original continuous-tone images better than that by conventional color error diffusion methods. We also demonstrate that the proposed sparse method reduce halftone noise better than the state-of-the-art method based on MBVC. View Full-Text
Keywords: halftoning; error diffusion; sparse Neugebauer model halftoning; error diffusion; sparse Neugebauer model
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MDPI and ACS Style

Wu, K.; Inoue, K.; Hara, K. Neugebauer Models for Color Error Diffusion Halftoning. J. Imaging 2020, 6, 23.

AMA Style

Wu K, Inoue K, Hara K. Neugebauer Models for Color Error Diffusion Halftoning. Journal of Imaging. 2020; 6(4):23.

Chicago/Turabian Style

Wu, Kaiming, Kohei Inoue, and Kenji Hara. 2020. "Neugebauer Models for Color Error Diffusion Halftoning" Journal of Imaging 6, no. 4: 23.

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