Non-local means image denoising with bilateral structure tensor

被引:0
|
作者
Huan, Li [1 ]
Yi, Xu [1 ]
机构
[1] Wuhan Univ Technol, Wuhan, Hubei, Peoples R China
关键词
Non-local means; bilateral structure tensor; image denoising; texture;
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
Non-local means image denoising with bilateral structure tensor algorithm is put forward for the reason that Non-local means(NLM) algorithm has a weaker detail retention and noise immunity. Different from the initial structure tensor, we can get better texture description between similar blocks by using of bilateral structure tensor of noise resistance and texture features. New texture can improve the description of NLM value calculation function which filter the noise of images. Compared with traditional NLM algorithm, NLM-BST algorithm gets better image detail preservation in noise immunity. The experimental results show that operator is validated in denoising and image detail reservations.
引用
收藏
页码:1625 / 1630
页数:6
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