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 |
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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 2020 → 22 5月 2020 |
出版系列
姓名 | Proceedings of SPIE - The International Society for Optical Engineering |
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卷 | 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 |
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国家/地区 | 日本 |
市 | Osaka |
时期 | 19/05/20 → 22/05/20 |
指纹
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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