Image salt and pepper noise adaptive based on fuzzy median filtering

Jingkun Qu; Jinxiang Xu

doi:10.1117/12.2573114

12 June 2020 Image salt and pepper noise adaptive based on fuzzy median filtering

Jingkun Qu, Jinxiang Xu

Proceedings Volume 11519, Twelfth International Conference on Digital Image Processing (ICDIP 2020); 115190P (2020) https://doi.org/10.1117/12.2573114
Event: Twelfth International Conference on Digital Image Processing, 2020, Osaka, Japan

Abstract

The advantage of the adaptive filter is that it can automatically adjust the parameters in the filtering process when the statistical characteristics of the input signal are unknown. Therefore, it can achieve better results when applied to image processing than traditional filtering methods. For pepper and salt noise, the algorithm in this paper is based on judging the difference of image gray level and using the fuzzy function to process the image. Through the comparison of normalized mean square error (NMSE) and peak signal to noise ratio (PSNR), the advantages of the proposed algorithm over the traditional adaptive filtering algorithm in preserving image details are verified.

Citation Download Citation

Jingkun Qu and Jinxiang Xu "Image salt and pepper noise adaptive based on fuzzy median filtering", Proc. SPIE 11519, Twelfth International Conference on Digital Image Processing (ICDIP 2020), 115190P (12 June 2020); https://doi.org/10.1117/12.2573114

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