文献详情
A novel statistical approach to remove salt-and-pepper noise
文献类型期刊
作者Wang, Yi[1];Han, Liang[2];Xiao, Song[3];Wang, Jiangyun[4];Zhai, Xiang[5]
机构
通讯作者Xiao, S (reprint author), BeiHang Univ, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China.
2017
期刊名称JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION影响因子和分区
来源信息年:2017  卷:87  期:13,SI  页码范围:2538-2548  
87
期刊信息JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION影响因子和分区  ISSN:0094-9655
13,SI
关键词Image simulation; statistical approach; salt-and-pepper noise; peak signal to noise ratio; structural similarity; 68Q32
页码范围2538-2548
增刊增刊
摘要Recently, image simulation has widely attracted people's attentions. In this paper, we propose a novel statistical approach to remove salt-and-pepper noise. A statistic model of the number of noise pixels is built and the noise ratio of the corrupted image is estimated. To remove the noise, two steps including pixels analysis and noise removal are studied. Firstly, a statistical approach is proposed to analyse pixels to identify whether they are noise or not. Secondly, we adopt two different mean filters to remove noise with respect to corrupted images whose noise ratios are no more than 30% and above 30%, respectively. For a noiseless pixel, we keep its value unchanged. For a noisy pixel, we replace it with the mean value according to its corresponding noise ratio. Simulation results show that compared with some state-of-the-art methods, our method can effectively eliminate noise, hold more details and acquire larger values with two image quality metrics: peak signal to noise ratio and structural similarity.
收录情况SCIE(WOS:000405475200007)  
所属部门自动化科学与电气工程学院
DOI10.1080/00949655.2017.1340474
百度学术A novel statistical approach to remove salt-and-pepper noise
语言外文
ISSN0094-9655
被引频次11
人气指数436
下载次数1
浏览次数435
基金National Science Foundation of China [61473013]; China Open Fund of State Key Laboratory of Intelligent Manufacturing System Technology
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