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

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

Research output: Contribution to conferencePaperpeer-review

7 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages13-16
Number of pages4
DOIs
Publication statusPublished - 2011 Dec 1
Event2011 2nd International Conference on Innovations in Bio-inspired Computing and Applications, IBICA 2011 - Shenzhen, Guangdong, China
Duration: 2011 Dec 162011 Dec 18

Other

Other2011 2nd International Conference on Innovations in Bio-inspired Computing and Applications, IBICA 2011
CountryChina
CityShenzhen, Guangdong
Period11-12-1611-12-18

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Computational Theory and Mathematics
  • Computer Science Applications

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