基于相邻像素启发式分析的椒盐噪声去除新方法

O. P. Verma, Shreya Arora, Ishandeep Singh
{"title":"基于相邻像素启发式分析的椒盐噪声去除新方法","authors":"O. P. Verma, Shreya Arora, Ishandeep Singh","doi":"10.1109/INDIACOM.2014.6828134","DOIUrl":null,"url":null,"abstract":"This paper presents a novel approach designed for removal of salt and pepper noise based on heuristic analysis of the neighboring pixels (SPHN). It is a two stage filter; in the first stage the noisy pixels are detected. Only the pixels classified as noisy are subjected to the filtering stage. In the detector stage the proposed algorithm analyses the neighborhood of the pixel under consideration, based on this analysis it classifies the pixel as noisy or noise-free. The noisy pixels are then subjected to filtering.","PeriodicalId":404873,"journal":{"name":"2014 International Conference on Computing for Sustainable Global Development (INDIACom)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A novel approach for salt and pepper noise removal based on heuristic analysis of neighboring pixels\",\"authors\":\"O. P. Verma, Shreya Arora, Ishandeep Singh\",\"doi\":\"10.1109/INDIACOM.2014.6828134\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a novel approach designed for removal of salt and pepper noise based on heuristic analysis of the neighboring pixels (SPHN). It is a two stage filter; in the first stage the noisy pixels are detected. Only the pixels classified as noisy are subjected to the filtering stage. In the detector stage the proposed algorithm analyses the neighborhood of the pixel under consideration, based on this analysis it classifies the pixel as noisy or noise-free. The noisy pixels are then subjected to filtering.\",\"PeriodicalId\":404873,\"journal\":{\"name\":\"2014 International Conference on Computing for Sustainable Global Development (INDIACom)\",\"volume\":\"68 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-03-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Computing for Sustainable Global Development (INDIACom)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INDIACOM.2014.6828134\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Computing for Sustainable Global Development (INDIACom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDIACOM.2014.6828134","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

提出了一种基于邻像元启发式分析(SPHN)的椒盐噪声去除方法。它是一个两级过滤器;在第一阶段,检测噪声像素。只有被分类为噪声的像素才进行滤波。在检测阶段,该算法对考虑的像素的邻域进行分析,并在此基础上对像素进行有噪声和无噪声的分类。然后对噪声像素进行滤波。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel approach for salt and pepper noise removal based on heuristic analysis of neighboring pixels
This paper presents a novel approach designed for removal of salt and pepper noise based on heuristic analysis of the neighboring pixels (SPHN). It is a two stage filter; in the first stage the noisy pixels are detected. Only the pixels classified as noisy are subjected to the filtering stage. In the detector stage the proposed algorithm analyses the neighborhood of the pixel under consideration, based on this analysis it classifies the pixel as noisy or noise-free. The noisy pixels are then subjected to filtering.
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:604180095
Book学术官方微信