Adaptive wavelet based spatially de-noising

Quan Pan; Lei Zhang; Hongcai Zhang; Guanzhong Dai

Adaptive wavelet based spatially de-noising

Quan Pan, Lei Zhang, Hongcai Zhang, Guanzhong Dai

自动化学院

Northwestern Polytechnical University Xian

科研成果: 会议稿件 › 论文 › 同行评审

6 引用（Scopus）

摘要

A complete adaptive wavelet based de-noising method was presented. By giving the noise power threshold, proposing the distinctive coefficient COF and threshold coefficient th(m) and modifying the edge extraction order, we made the spatially selective noise filtration efficient. An estimation of noise level was also given here. The simulations show that the method can keep edges well while removing noise greatly.

源语言	英语
页	486-489
页数	4
出版状态	已出版 - 1998
活动	Proceedings of the 1998 4th International Conference on Signal Processing Proceedings, ICSP '98 - Beijing, China 期限: 12 10月 1998 → 16 10月 1998

会议

会议	Proceedings of the 1998 4th International Conference on Signal Processing Proceedings, ICSP '98
市	Beijing, China
时期	12/10/98 → 16/10/98

其它文件与链接

链接到 Scopus 的出版物

引用此

@conference{64859fc9b4b447328971bb6c700a668e,

title = "Adaptive wavelet based spatially de-noising",

abstract = "A complete adaptive wavelet based de-noising method was presented. By giving the noise power threshold, proposing the distinctive coefficient COF and threshold coefficient th(m) and modifying the edge extraction order, we made the spatially selective noise filtration efficient. An estimation of noise level was also given here. The simulations show that the method can keep edges well while removing noise greatly.",

author = "Quan Pan and Lei Zhang and Hongcai Zhang and Guanzhong Dai",

year = "1998",

language = "英语",

pages = "486--489",

note = "Proceedings of the 1998 4th International Conference on Signal Processing Proceedings, ICSP '98 ; Conference date: 12-10-1998 Through 16-10-1998",

}

TY - CONF

T1 - Adaptive wavelet based spatially de-noising

AU - Pan, Quan

AU - Zhang, Lei

AU - Zhang, Hongcai

AU - Dai, Guanzhong

PY - 1998

Y1 - 1998

N2 - A complete adaptive wavelet based de-noising method was presented. By giving the noise power threshold, proposing the distinctive coefficient COF and threshold coefficient th(m) and modifying the edge extraction order, we made the spatially selective noise filtration efficient. An estimation of noise level was also given here. The simulations show that the method can keep edges well while removing noise greatly.

AB - A complete adaptive wavelet based de-noising method was presented. By giving the noise power threshold, proposing the distinctive coefficient COF and threshold coefficient th(m) and modifying the edge extraction order, we made the spatially selective noise filtration efficient. An estimation of noise level was also given here. The simulations show that the method can keep edges well while removing noise greatly.

UR - http://www.scopus.com/inward/record.url?scp=0032286946&partnerID=8YFLogxK

M3 - 论文

AN - SCOPUS:0032286946

SP - 486

EP - 489

T2 - Proceedings of the 1998 4th International Conference on Signal Processing Proceedings, ICSP '98

Y2 - 12 October 1998 through 16 October 1998

ER -

Adaptive wavelet based spatially de-noising

摘要

会议

其它文件与链接

指纹

引用此