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A Lattice Boltzmann Method for Image Denoising

文献类型：期刊论文

作者Chang, Qianshun1; Yang, Tong2
刊名IEEE TRANSACTIONS ON IMAGE PROCESSING
出版日期2009-12-01
卷号18期号:12页码:2797-2802
关键词Algorithm of denoising fast algorithm image restoration lattice Boltzmann method parallel algorithm
ISSN号1057-7149
DOI10.1109/TIP.2009.2028369
英文摘要In this paper, we construct a Lattice Boltzmann scheme to simulate the well known total variation based restoration model, that is, ROF model. The advantages of the Lattice Boltzmann method include the fast computational speed and the easily implemented fully parallel algorithm. A conservative property of the LB method is discussed. The macroscopic PDE associated with the LB algorithm is derived which is just the ROF model. Moreover, the linearized stability of the method is analyzed. The numerical computations demonstrate that the LB algorithm is efficient and robust. Even though the quality of the restored images is slightly lower than those by using the ROF model, the restored images of the LB method are satisfactory. Furthermore, computational speed of the LB method is much faster than ROF model. In general, CPU time of the LB method for restored images is about one tenth of ROF model.
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:000271684500017
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/7902]  
专题中国科学院数学与系统科学研究院
通讯作者Chang, Qianshun
作者单位1.Chinese Acad Sci, Inst Appl Math, Acad Math & Syst Sci, Beijing, Peoples R China
2.City Univ Hong Kong, Dept Math, Hong Kong, Hong Kong, Peoples R China
推荐引用方式
GB/T 7714		 Chang, Qianshun,Yang, Tong. A Lattice Boltzmann Method for Image Denoising[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2009,18(12):2797-2802.
APA Chang, Qianshun,&Yang, Tong.(2009).A Lattice Boltzmann Method for Image Denoising.IEEE TRANSACTIONS ON IMAGE PROCESSING,18(12),2797-2802.
MLA Chang, Qianshun,et al."A Lattice Boltzmann Method for Image Denoising".IEEE TRANSACTIONS ON IMAGE PROCESSING 18.12(2009):2797-2802.

入库方式： OAI收割

来源：数学与系统科学研究院

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