Image salt and pepper noise adaptive based on fuzzy median filtering

Jingkun Qu, Jinxiang Xu

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

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.

源语言英语
主期刊名Twelfth International Conference on Digital Image Processing, ICDIP 2020
编辑Xudong Jiang, Hiroshi Fujita
出版商SPIE
ISBN(电子版)9781510638457
DOI
出版状态已出版 - 2020
活动12th International Conference on Digital Image Processing, ICDIP 2020 - Osaka, 日本
期限: 19 5月 202022 5月 2020

出版系列

姓名Proceedings of SPIE - The International Society for Optical Engineering
11519
ISSN(印刷版)0277-786X
ISSN(电子版)1996-756X

会议

会议12th International Conference on Digital Image Processing, ICDIP 2020
国家/地区日本
Osaka
时期19/05/2022/05/20

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引用此

Qu, J., & Xu, J. (2020). Image salt and pepper noise adaptive based on fuzzy median filtering. 在 X. Jiang, & H. Fujita (编辑), Twelfth International Conference on Digital Image Processing, ICDIP 2020 文章 115190P (Proceedings of SPIE - The International Society for Optical Engineering; 卷 11519). SPIE. https://doi.org/10.1117/12.2573114