A new kind of weighted median filtering algorithm used for image Processing

被引：0
|
作者：
Deng Xiuqin [1 ]
Xiong Yong [2 ]
Peng Hong [2 ]
机构：
[1] Guangdong Univ Technol, Sch Appl Math, Guangzhou 510006, Guangdong, Peoples R China
[2] S China Univ Technol, Sch Comp Sci & Engn, Guangzhou 510640, Peoples R China
来源：
ISISE 2008: INTERNATIONAL SYMPOSIUM ON INFORMATION SCIENCE AND ENGINEERING, VOL 2 | 2008年
基金：
中国博士后科学基金; 中国国家自然科学基金;
关键词：
Weighted median filter; Similarity function; Impulse noise; Gaussian noise; Detail preserving;
D O I：
10.1109/ISISE.2008.288
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Aimed at the excellence and shortcoming of the traditional median filtering algorithm, this paper proposes a new adaptive weighted median filtering algorithm. The new algorithm first determines noise points in image through noise detection, then adjusts the size of filtering window adaptively according to number of noise points in window, the pixel points in the filtering window are grouped adaptively by certain rules and gives corresponding weight to each group of pixel points according to similarit,,finally the noise detected are filtering-treated by means of weighted median filtering algorithm. The result of computer simulation experiment indicates that the new algorithm can not only filter off noise effectively, but also favorably reserve image details with a filtering performance better than traditional median filtering algorithm.
引用
收藏
页码：738 / +
页数：3
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