An efficient denoising approach for random-valued impulse noise in digital images

Chih Yuan Lien; Chien Chuan Huang; Pei-Yin Chen; Hung Yu Yang

doi:10.1109/IBICA.2011.8

An efficient denoising approach for random-valued impulse noise in digital images

Chih Yuan Lien, Chien Chuan Huang, Pei-Yin Chen, Hung Yu Yang

資訊工程學系

研究成果: Paper › 同行評審

7 引文斯高帕斯（Scopus）

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	https://doi.org/10.1109/IBICA.2011.8
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

All Science Journal Classification (ASJC) codes

Biotechnology
Computational Theory and Mathematics
Computer Science Applications

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10.1109/IBICA.2011.8

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引用此

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