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A Fast Adaptive Salt and Pepper Noise Reduction Method in Images

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Abstract

In this paper, an effective filtering method is proposed to remove impulse noise from images. In this two-stage method, detected noise-free pixels remain unchanged. Afterwards, a Gaussian filter with adaptive variances according to the image noise level is applied on the noisy pixels. Experimental results show that the proposed method outperforms recent impulse denoising methods in terms of PSNR, MAE, IEF, and SSIM. Moreover, the speed of the method is comparable with them, and it can be used effectively in real-time applications.

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Acknowledgements

The authors would like to thank the anonymous reviewers for their constructive and helpful suggestions and comments, which greatly improved the quality of the paper.

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Authors and Affiliations

  1. Electrical Engineering Department, Shahid Bahonar University of Kerman, P.O. Box 76169-133, Kerman, Iran

    Mehdi Nasri, Saeid Saryazdi & Hossein Nezamabadi-pour

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  1. Mehdi Nasri
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  2. Saeid Saryazdi
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  3. Hossein Nezamabadi-pour
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Correspondence to Mehdi Nasri.

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Nasri, M., Saryazdi, S. & Nezamabadi-pour, H. A Fast Adaptive Salt and Pepper Noise Reduction Method in Images. Circuits Syst Signal Process 32, 1839–1857 (2013). https://doi.org/10.1007/s00034-012-9546-3

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  • DOI: https://doi.org/10.1007/s00034-012-9546-3

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