@inproceedings{471cef19029f402386a505dd07fb6bf3,
title = "Image salt and pepper noise adaptive based on fuzzy median filtering",
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.",
keywords = "Adaptive filtering, Fuzzy theory, Image processing, Salt and pepper noise",
author = "Jingkun Qu and Jinxiang Xu",
note = "Publisher Copyright: {\textcopyright} 2020 SPIE.; 12th International Conference on Digital Image Processing, ICDIP 2020 ; Conference date: 19-05-2020 Through 22-05-2020",
year = "2020",
doi = "10.1117/12.2573114",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Xudong Jiang and Hiroshi Fujita",
booktitle = "Twelfth International Conference on Digital Image Processing, ICDIP 2020",
address = "United States",
}