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DOI:	10.1371/journal.pone.0158664
论文题名:	A New Method for Nonlocal Means Image Denoising Using Multiple Images
作者:	Xingzheng Wang; Haoqian Wang; Jiangfeng Yang; Yongbing Zhang
刊名:	PLOS ONE
ISSN:	1932-6203
出版年:	2016
发表日期:	2016-7-26
卷:	11, 期:7
语种:	英语
英文关键词:	Imaging techniques ; Gaussian noise ; Signal to noise ratio ; Cameras ; Remote sensing imagery ; Baboons ; Boats ; Attention
英文摘要:	The basic principle of nonlocal means is to denoise a pixel using the weighted average of the neighbourhood pixels, while the weight is decided by the similarity of these pixels. The key issue of the nonlocal means method is how to select similar patches and design the weight of them. There are two main contributions of this paper: The first contribution is that we use two images to denoise the pixel. These two noised images are with the same noise deviation. Instead of using only one image, we calculate the weight from two noised images. After the first denoising process, we get a pre-denoised image and a residual image. The second contribution is combining the nonlocal property between residual image and pre-denoised image. The improved nonlocal means method pays more attention on the similarity than the original one, which turns out to be very effective in eliminating gaussian noise. Experimental results with simulated data are provided.
URL:	http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0158664&type=printable
Citation statistics:
资源类型:	期刊论文
标识符:	http://119.78.100.158/handle/2HF3EXSE/23556
Appears in Collections:	过去全球变化的重建影响、适应和脆弱性科学计划与规划气候变化与战略全球变化的国际研究计划气候减缓与适应气候变化事实与影响

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journal.pone.0158664.PDF（1840KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	View Download

作者单位:

Shenzhen Key Laboratory of Broadband Network & Multimedia, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China;Shenzhen Institute of Future Media Technology, Shenzhen, China;Shenzhen Key Laboratory of Broadband Network & Multimedia, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China;Shenzhen Institute of Future Media Technology, Shenzhen, China;Shenzhen Key Laboratory of Broadband Network & Multimedia, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China;Shenzhen Institute of Future Media Technology, Shenzhen, China;Shenzhen Key Laboratory of Broadband Network & Multimedia, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China;Shenzhen Institute of Future Media Technology, Shenzhen, China

Recommended Citation:

Xingzheng Wang,Haoqian Wang,Jiangfeng Yang,et al. A New Method for Nonlocal Means Image Denoising Using Multiple Images[J]. PLOS ONE,2016-01-01,11(7)

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