摘要
An efficient edge-preserving algorithm for removal of random-valued impulse noise from corrupted images is proposed in this paper. We employ an efficient impulse noise detector to detect the noisy pixels, and an edge-preserving filter to reconstruct the intensity values of noisy pixels. Extensive experimental results show that the proposed technique not only preserves the edge features, but also obtains excellent performances in terms of quantitative evaluation and visual quality. Since our algorithm requires only low computational complexity, it is very suitable to be applied to many real-time applications.
| 原文 | English |
|---|---|
| 頁面 | 13-16 |
| 頁數 | 4 |
| DOIs | |
| 出版狀態 | Published - 2011 十二月 1 |
| 事件 | 2011 2nd International Conference on Innovations in Bio-inspired Computing and Applications, IBICA 2011 - Shenzhen, Guangdong, China 持續時間: 2011 十二月 16 → 2011 十二月 18 |
Other
| Other | 2011 2nd International Conference on Innovations in Bio-inspired Computing and Applications, IBICA 2011 |
|---|---|
| 國家 | China |
| 城市 | Shenzhen, Guangdong |
| 期間 | 11-12-16 → 11-12-18 |
指紋
All Science Journal Classification (ASJC) codes
- Biotechnology
- Computational Theory and Mathematics
- Computer Science Applications
引用此文
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An efficient denoising approach for random-valued impulse noise in digital images. / Lien, Chih Yuan; Huang, Chien Chuan; Chen, Pei-Yin; Yang, Hung Yu.
2011. 13-16 論文發表於 2011 2nd International Conference on Innovations in Bio-inspired Computing and Applications, IBICA 2011, Shenzhen, Guangdong, China.研究成果: Paper
TY - CONF
T1 - An efficient denoising approach for random-valued impulse noise in digital images
AU - Lien, Chih Yuan
AU - Huang, Chien Chuan
AU - Chen, Pei-Yin
AU - Yang, Hung Yu
PY - 2011/12/1
Y1 - 2011/12/1
N2 - An efficient edge-preserving algorithm for removal of random-valued impulse noise from corrupted images is proposed in this paper. We employ an efficient impulse noise detector to detect the noisy pixels, and an edge-preserving filter to reconstruct the intensity values of noisy pixels. Extensive experimental results show that the proposed technique not only preserves the edge features, but also obtains excellent performances in terms of quantitative evaluation and visual quality. Since our algorithm requires only low computational complexity, it is very suitable to be applied to many real-time applications.
AB - An efficient edge-preserving algorithm for removal of random-valued impulse noise from corrupted images is proposed in this paper. We employ an efficient impulse noise detector to detect the noisy pixels, and an edge-preserving filter to reconstruct the intensity values of noisy pixels. Extensive experimental results show that the proposed technique not only preserves the edge features, but also obtains excellent performances in terms of quantitative evaluation and visual quality. Since our algorithm requires only low computational complexity, it is very suitable to be applied to many real-time applications.
UR - http://www.scopus.com/inward/record.url?scp=84862968706&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84862968706&partnerID=8YFLogxK
U2 - 10.1109/IBICA.2011.8
DO - 10.1109/IBICA.2011.8
M3 - Paper
AN - SCOPUS:84862968706
SP - 13
EP - 16
ER -