thealgorithmsaboutfastnonlocalmeansbasedimagedenoising

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	thealgorithmsaboutfastnonlocalmeansbasedimagedenoising
	Xing Lili 1; Chang Qianshun 2; Qiao Tiantian 1
	2012
发表期刊	actamathematicaeapplicataesinica
ISSN	0168-9673
卷号	028 期号:002 页码:247
摘要	Image denoising is still a challenge of image processing. Buades et al. proposed a nonlocal means （NL-means） approach. This method had a remarkable denoising results at high expense of computational cost. In this paper, We compared several fast non-local means methods, and proposed a new fast algorithm. Numerical experiments showed that our algorithm considerably reduced the computational cost, and obtained visually pleasant images.
语种	英语
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/43115
专题	中国科学院数学与系统科学研究院
作者单位	1.中国石油大学 2.中国科学院数学与系统科学研究院
推荐引用方式 GB/T 7714	Xing Lili,Chang Qianshun,Qiao Tiantian. thealgorithmsaboutfastnonlocalmeansbasedimagedenoising[J]. actamathematicaeapplicataesinica,2012,028(002):247.
APA	Xing Lili,Chang Qianshun,&Qiao Tiantian.(2012).thealgorithmsaboutfastnonlocalmeansbasedimagedenoising.actamathematicaeapplicataesinica,028(002),247.
MLA	Xing Lili,et al."thealgorithmsaboutfastnonlocalmeansbasedimagedenoising".actamathematicaeapplicataesinica 028.002(2012):247.