An Efficient Edge-Preserving Algorithm for Removal of Salt-and-Pepper Noise

In this letter, a novel algorithm for removing salt-and-pepper noise from corrupted images is presented. 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 demonst...

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Bibliographic Details
Published in:IEEE signal processing letters 2008, Vol.15, p.833-836
Main Authors: Chen, Pei-Yin, Lien, Chih-Yuan
Format: Article
Language:English
Subjects:
Detectors
Filters
Image denoising
Image edge detection
Image reconstruction
Image restoration
impulse noise
Noise reduction
Performance evaluation
Pixel
salt-and-pepper noise
Signal processing
Signal processing algorithms
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Summary:In this letter, a novel algorithm for removing salt-and-pepper noise from corrupted images is presented. 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 demonstrate that our method can obtain better performances in terms of both subjective and objective evaluations than those state-of-the-art impulse denoising techniques. Especially, the proposed method can preserve edges very well while removing impulse noise. Since our algorithm is algorithmically simple, it is very suitable to be applied to many real-time applications.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2008.2005047