An Improved Image Denoising Model Based on Nonlocal Means Filter

被引：8
|
作者：
Jin, Yan [1 ]
Jiang, Wenyu [1 ]
Shao, Jianlong [2 ]
Lu, Jin [1 ]
机构：
[1] Zhejiang Univ Technol, Coll Informat Engn, Hangzhou 310023, Zhejiang, Peoples R China
[2] Kunming Univ Sci & Technol, Sch Informat Engn & Automat, Kunming 650500, Yunnan, Peoples R China
来源：
MATHEMATICAL PROBLEMS IN ENGINEERING | 2018年 / 2018卷
关键词：
SPARSE; REGULARIZATION; ALGORITHM; TRANSFORM;
D O I：
10.1155/2018/8593934
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The nonlocal means filter plays an important role in image denoising. We propose in this paper an image denoising model which is a suitable improvement of the nonlocal means filter. We compare this model with the nonlocal means filter, both theoretically and experimentally. Experiment results show that this new model provides good results for image denoising. Particularly, it is better than the nonlocal means filter when we consider the denoising for natural images with high textures.
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收藏
页数：12
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