Adaptive Image Denoising Method Based On Non-local Means Filtering

被引：0
|
作者：
Wang, Jing [1 ]
Su, Jia [1 ]
Hou, Yan-li [1 ]
Hou, Wei-min [1 ]
机构：
[1] Hebei Univ Sci & Technol, Sch Informat Sci & Engn, Shijiazhuang 050018, Peoples R China
来源：
2015 7TH INTERNATIONAL CONFERENCE ON MODELLING, IDENTIFICATION AND CONTROL (ICMIC) | 2014年
关键词：
image denoising; non-local means; filtering parameter; image patch; weight value;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper proposes an adaptive image denosing method. Conventional non-local means(NLM) method is not able to adaptively choose filter parameter. According to the characteristic value of different image patch, we build a prediction function, which is used to choose a suitable NLM parameter for the image, thus realize the adaptive non-local means filtering. Experimental results illustrate that the proposed method is superior to the traditional non-local means in both peak signal-to-noise ratio and subjective denoising quality for images.
引用
收藏
页码：624 / 627
页数：4
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