CSpace
A Lattice Boltzmann Method for Image Denoising
Chang, Qianshun1; Yang, Tong2
2009-12-01
发表期刊IEEE TRANSACTIONS ON IMAGE PROCESSING
ISSN1057-7149
卷号18期号:12页码:2797-2802
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.
关键词Algorithm of denoising fast algorithm image restoration lattice Boltzmann method parallel algorithm
DOI10.1109/TIP.2009.2028369
语种英语
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号WOS:000271684500017
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/7903
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.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Chang, Qianshun]的文章
[Yang, Tong]的文章
百度学术
百度学术中相似的文章
[Chang, Qianshun]的文章
[Yang, Tong]的文章
必应学术
必应学术中相似的文章
[Chang, Qianshun]的文章
[Yang, Tong]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。