A channel-dependent color error diffusion method based on distance constraint

2003 ◽  
Author(s):  
Ki-Min Kang ◽  
Eul-Hwan Lee
2020 ◽  
Vol 6 (4) ◽  
pp. 23
Author(s):  
Kaiming Wu ◽  
Kohei Inoue ◽  
Kenji Hara

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.


2003 ◽  
Author(s):  
Vishal Monga ◽  
Niranjan Damera-Venkata ◽  
Brian L. Evans

2019 ◽  
Vol 58 (20) ◽  
pp. 5547 ◽  
Author(s):  
Gao Yang ◽  
Shuming Jiao ◽  
Jung-Ping Liu ◽  
Ting Lei ◽  
Xiaocong Yuan

2003 ◽  
Author(s):  
Christopher R. Brown ◽  
Andreas E. Savakis

2001 ◽  
Vol 32 (1) ◽  
pp. 214
Author(s):  
Michiel A. Klompenhouwer ◽  
Gerard de Haan
Keyword(s):  

2003 ◽  
Vol 20 (4) ◽  
pp. 51-58 ◽  
Author(s):  
N. Damera-Venkata ◽  
B.L. Evans ◽  
V. Monga
Keyword(s):  

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