A gradient-based adaptive error diffusion method with edge enhancement

被引:10
|
作者
Chung, Kuo-Liang [1 ]
Pei, Soo-Chang [2 ]
Pan, Ying-Lin [3 ]
Hsu, Wei-Ling [3 ]
Huang, Yong-Huai [4 ,5 ]
Yang, Wei-Ning [3 ]
Chen, Chyou-Hwa [1 ]
机构
[1] Natl Taiwan Univ Sci & Technol, Dept Comp Sci & Informat Engn, Taipei 10672, Taiwan
[2] Natl Taiwan Univ, Dept Elect Engn, Taipei 10617, Taiwan
[3] Natl Taiwan Univ Sci & Technol, Dept Informat Management, Taipei 10672, Taiwan
[4] Jinwen Univ Sci & Technol, Inst Comp & Commun Engn, Taipei 23154, Taiwan
[5] Jinwen Univ Sci & Technol, Dept Elect Engn, Taipei 23154, Taiwan
关键词
Edge correlation; Edge enhancement; Error diffusion; Gradient information; Floyd-Steinberg model; Halftoning; PSNR; ALGORITHM;
D O I
10.1016/j.eswa.2010.07.079
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a gradient-based adaptive error diffusion method with edge enhancement effect while preserving the smoothness effect. The proposed method not only can modulate the threshold in halftoning dynamically but also can determine the weights of the error diffusion filter adaptively to diffuse the quantization error to neighboring pixels properly. Under six testing images, experimental results demonstrate that our proposed new error diffusion method has a good compromise between the edge enhancement effect in the halftone image and the image quality effect in the corresponding inverse halftone image when compared to the methods by Floyd-Steinberg, Eschbach and Knox, Hwang et al.. Li, and Feng et al., but it has some execution-time degradation. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1591 / 1601
页数:11
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