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A new selective filtering algorithm for image denoising
Liu L.; Zhou Y.; Chen C.L.P.
2013
Conference Name2013 IEEE Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE)
Source Publication2013 IEEE Digital Signal Processing and Signal Processing Education Meeting, DSP/SPE 2013 - Proceedings
Pages193-197
Conference Date11-14 Aug. 2013
Conference PlaceNapa, CA, USA
Abstract

This paper proposes a simple but efficient selective filtering algorithm (SFA) for removing the impulse noise in images. Integrating the noise detector with the relationship between a pixel and its neighbors, the SFA is able to efficiently detect and remove noise pixels while well preserving information pixels. Experimental results and comparisons demonstrate that the proposed SFA outperforms several existing denoising methods with respect to the visual effects and quantitative measure results. © 2013 IEEE.

KeywordImage Denoising Impulse Noise Noise Detection Selective Filtering
DOIhttp://doi.org/10.1109/DSP-SPE.2013.6642589
URLView the original
Language英语
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Document TypeConference paper
CollectionFaculty of Science and Technology
DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
AffiliationUniversidade de Macau
Recommended Citation
GB/T 7714
Liu L.,Zhou Y.,Chen C.L.P.. A new selective filtering algorithm for image denoising[C],2013:193-197.
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