Noncausal error-diffusion method for edge enhancement

1997 ◽  
Author(s):  
Ki-Min Kang ◽  
Choon-Woo Kim
Keyword(s):  
Diffusion Method ◽  
Error Diffusion ◽  
Edge Enhancement

A gradient-based adaptive error diffusion method with edge enhancement

2011 ◽  
Vol 38 (3) ◽  
pp. 1591-1601 ◽  
Author(s):  
Kuo-Liang Chung ◽  
Soo-Chang Pei ◽  
Ying-Lin Pan ◽  
Wei-Ling Hsu ◽  
Yong-Huai Huang ◽  
...  
Keyword(s):  
Diffusion Method ◽  
Error Diffusion ◽  
Edge Enhancement ◽  
Gradient Based

Error diffusion method with optimized weighting coefficients for binary hologram generation

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

scholarly journals Neugebauer Models for Color Error Diffusion Halftoning

2020 ◽  
Vol 6 (4) ◽  
pp. 23
Author(s):  
Kaiming Wu ◽  
Kohei Inoue ◽  
Kenji Hara
Keyword(s):  
Natural Extension ◽  
Design Criterion ◽  
Diffusion Method ◽  
Error Diffusion ◽  
Blue Color ◽  
Color Design ◽  
Color Version ◽  
Model Based ◽  
Color Error ◽  
Better Than

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.

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