图像去噪技术综述

S. Trivedi, K. Singh
{"title":"图像去噪技术综述","authors":"S. Trivedi, K. Singh","doi":"10.1109/CCTES.2018.8674102","DOIUrl":null,"url":null,"abstract":"Images are often corrupted during image acquisition, compression, processing and storing by different kind of noises. Image de-noising is a fundamental issue in biomedical digital image processing. This paper discuss the result of three de-noising techniques. The non-linear filtering technique deal with de-noising problems without affecting the class of an image with good results. This paper covers sensible feature of three types of filters which is used for suppression of noise. An MRI scan of human head image has been taken, which has been contaminated by various values of salt & pepper noise. The outputs of de-noised image in terms of peak signal to noise ratio (PSNR) and mean squared error (MSE) are used for studying the performance of different filters.","PeriodicalId":219876,"journal":{"name":"2018 International Conference on Computational and Characterization Techniques in Engineering & Sciences (CCTES)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Technical Review of Image de-Noising Techniques\",\"authors\":\"S. Trivedi, K. Singh\",\"doi\":\"10.1109/CCTES.2018.8674102\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Images are often corrupted during image acquisition, compression, processing and storing by different kind of noises. Image de-noising is a fundamental issue in biomedical digital image processing. This paper discuss the result of three de-noising techniques. The non-linear filtering technique deal with de-noising problems without affecting the class of an image with good results. This paper covers sensible feature of three types of filters which is used for suppression of noise. An MRI scan of human head image has been taken, which has been contaminated by various values of salt & pepper noise. The outputs of de-noised image in terms of peak signal to noise ratio (PSNR) and mean squared error (MSE) are used for studying the performance of different filters.\",\"PeriodicalId\":219876,\"journal\":{\"name\":\"2018 International Conference on Computational and Characterization Techniques in Engineering & Sciences (CCTES)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Computational and Characterization Techniques in Engineering & Sciences (CCTES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCTES.2018.8674102\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Computational and Characterization Techniques in Engineering & Sciences (CCTES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCTES.2018.8674102","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

在图像采集、压缩、处理和存储过程中,各种噪声都会对图像造成破坏。图像去噪是生物医学数字图像处理中的一个基本问题。本文讨论了三种降噪技术的降噪效果。非线性滤波技术在不影响图像分类的情况下处理去噪问题,效果良好。本文介绍了用于抑制噪声的三种滤波器的敏感特性。已经拍摄了一幅被不同值的盐和胡椒噪声污染的人类头部图像的核磁共振扫描。用峰值信噪比(PSNR)和均方误差(MSE)来研究不同滤波器的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Technical Review of Image de-Noising Techniques
Images are often corrupted during image acquisition, compression, processing and storing by different kind of noises. Image de-noising is a fundamental issue in biomedical digital image processing. This paper discuss the result of three de-noising techniques. The non-linear filtering technique deal with de-noising problems without affecting the class of an image with good results. This paper covers sensible feature of three types of filters which is used for suppression of noise. An MRI scan of human head image has been taken, which has been contaminated by various values of salt & pepper noise. The outputs of de-noised image in terms of peak signal to noise ratio (PSNR) and mean squared error (MSE) are used for studying the performance of different filters.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信