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thealgorithmsaboutfastnonlocalmeansbasedimagedenoising
Xing Lili1; Chang Qianshun2; Qiao Tiantian1
2012
Source Publicationactamathematicaeapplicataesinica
ISSN0168-9673
Volume028Issue:002Pages:247
AbstractImage 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.
Language英语
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/43115
Collection中国科学院数学与系统科学研究院
Affiliation1.中国石油大学
2.中国科学院数学与系统科学研究院
Recommended Citation
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.
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