An approach for image denoising based on edge soft-judgement

Yang Bai; Tingzhi Shen; Yaping Zhu; Weijiang Wang

doi:10.1109/WCICA.2006.1713850

An approach for image denoising based on edge soft-judgement

Yang Bai^*, Tingzhi Shen, Yaping Zhu, Weijiang Wang

^*此作品的通讯作者

集成电路与电子学院

Beijing Institute of Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

2 引用（Scopus）

摘要

This new approach employs different methods to estimate the edge and non-edge coefficients in the wavelet domain, separately. For the classification of the coefficients, the edge soft-judgement algorithm is introduced, which is according to both the gradient amplitude distribution and the calculation on the probability of the edge occurrence. When estimating the probability of the edge occurrence, a fast algorithm is educed. At last, the local-relation model is introduced to constrain the probability of the edge occurrence in scale-space to improve the estimation precision. Experimental results show that this new algorithm has a better performance and is easy to implement.

源语言	英语
主期刊名	Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
页	9537-9541
页数	5
DOI	https://doi.org/10.1109/WCICA.2006.1713850
出版状态	已出版 - 2006
活动	6th World Congress on Intelligent Control and Automation, WCICA 2006 - Dalian, 中国期限: 21 6月 2006 → 23 6月 2006

出版系列

姓名	Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
卷	2

会议

会议	6th World Congress on Intelligent Control and Automation, WCICA 2006
国家/地区	中国
市	Dalian
时期	21/06/06 → 23/06/06

访问文件

10.1109/WCICA.2006.1713850

其它文件与链接

链接到 Scopus 的出版物

引用此

@inproceedings{714e28025a7f45bba14575d607f208ef,

title = "An approach for image denoising based on edge soft-judgement",

abstract = "This new approach employs different methods to estimate the edge and non-edge coefficients in the wavelet domain, separately. For the classification of the coefficients, the edge soft-judgement algorithm is introduced, which is according to both the gradient amplitude distribution and the calculation on the probability of the edge occurrence. When estimating the probability of the edge occurrence, a fast algorithm is educed. At last, the local-relation model is introduced to constrain the probability of the edge occurrence in scale-space to improve the estimation precision. Experimental results show that this new algorithm has a better performance and is easy to implement.",

keywords = "Edge soft-judgement, Image denoise, Wavelet",

author = "Yang Bai and Tingzhi Shen and Yaping Zhu and Weijiang Wang",

year = "2006",

doi = "10.1109/WCICA.2006.1713850",

language = "English",

isbn = "1424403324",

series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",

pages = "9537--9541",

booktitle = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",

note = "6th World Congress on Intelligent Control and Automation, WCICA 2006 ; Conference date: 21-06-2006 Through 23-06-2006",

}

Bai, Y, Shen, T, Zhu, Y & Wang, W 2006, An approach for image denoising based on edge soft-judgement. 在 Proceedings of the World Congress on Intelligent Control and Automation (WCICA)., 1713850, Proceedings of the World Congress on Intelligent Control and Automation (WCICA), 卷 2, 页码 9537-9541, 6th World Congress on Intelligent Control and Automation, WCICA 2006, Dalian, 中国, 21/06/06. https://doi.org/10.1109/WCICA.2006.1713850

An approach for image denoising based on edge soft-judgement. / Bai, Yang; Shen, Tingzhi; Zhu, Yaping 等.
Proceedings of the World Congress on Intelligent Control and Automation (WCICA). 2006. 页码 9537-9541 1713850 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA); 卷 2).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - An approach for image denoising based on edge soft-judgement

AU - Bai, Yang

AU - Shen, Tingzhi

AU - Zhu, Yaping

AU - Wang, Weijiang

PY - 2006

Y1 - 2006

N2 - This new approach employs different methods to estimate the edge and non-edge coefficients in the wavelet domain, separately. For the classification of the coefficients, the edge soft-judgement algorithm is introduced, which is according to both the gradient amplitude distribution and the calculation on the probability of the edge occurrence. When estimating the probability of the edge occurrence, a fast algorithm is educed. At last, the local-relation model is introduced to constrain the probability of the edge occurrence in scale-space to improve the estimation precision. Experimental results show that this new algorithm has a better performance and is easy to implement.

AB - This new approach employs different methods to estimate the edge and non-edge coefficients in the wavelet domain, separately. For the classification of the coefficients, the edge soft-judgement algorithm is introduced, which is according to both the gradient amplitude distribution and the calculation on the probability of the edge occurrence. When estimating the probability of the edge occurrence, a fast algorithm is educed. At last, the local-relation model is introduced to constrain the probability of the edge occurrence in scale-space to improve the estimation precision. Experimental results show that this new algorithm has a better performance and is easy to implement.

KW - Edge soft-judgement

KW - Image denoise

KW - Wavelet

UR - http://www.scopus.com/inward/record.url?scp=34047231215&partnerID=8YFLogxK

U2 - 10.1109/WCICA.2006.1713850

DO - 10.1109/WCICA.2006.1713850

M3 - Conference contribution

AN - SCOPUS:34047231215

SN - 1424403324

SN - 9781424403325

T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

SP - 9537

EP - 9541

BT - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

T2 - 6th World Congress on Intelligent Control and Automation, WCICA 2006

Y2 - 21 June 2006 through 23 June 2006

ER -

An approach for image denoising based on edge soft-judgement

摘要

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会议

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