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.
来源信息年:2017  卷:87  期:13,SI  页码范围:2538-2548  
期刊信息JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION影响因子和分区  ISSN:0094-9655
关键词Image simulation; statistical approach; salt-and-pepper noise; peak signal to noise ratio; structural similarity; 68Q32
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
学科计算机:跨学科应用;统计学与概率论
人气指数402
浏览次数402
基金National Science Foundation of China [61473013]; China Open Fund of State Key Laboratory of Intelligent Manufacturing System Technology
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