Nonlocal Means Denoising Using a Content-Based Searching Region

被引：0
|
作者：
Xu, Guangyu [1 ]
Jiang, Shexiang [1 ]
机构：
[1] Anhui Univ Sci & Technol, Sch Comp Sci & Engn, Huainan 232001, Peoples R China
来源：
2015 8TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP) | 2015年
关键词：
image denoising; NLM; adaptive searching window; edge contents; IMAGE;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The recent Nonlocal Means (NLM) filter shows excellent performance for image denoising. We investigate the effect of two key parameters on NLM: the searching region size and the decay parameter of the weights. We testify the general knowledge that the denoising performance can be improved by adjusting the searching region size and using an optimum decay parameter. Based on this observation, we adaptively choose the size of the searching region according to the edge contents of an area, and present a linear estimation for the decay parameter. Experimental results show that the proposed algorithm achieves much better denoising performance compared with the original NLM filter.
引用
收藏
页码：293 / 297
页数：5
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