基于模糊边缘检测器的DCT压缩图像块化伪影去除

D. Gambhir, N. Rajpal
{"title":"基于模糊边缘检测器的DCT压缩图像块化伪影去除","authors":"D. Gambhir, N. Rajpal","doi":"10.1109/CCUBE.2013.6718544","DOIUrl":null,"url":null,"abstract":"DCT compressed digital images vulnerable to block like visible distortions at low bit rate. To overcome these block distortions, a new compressed image artifact removal method as cascade of fuzzy edge detector and fuzzy based substitution is proposed. In this scheme, Gaussian type fuzzy edge detector is used for each overlapped block of a DCT compressed image. The central pixel of compressed image block is to be considered under block edge boundary depending on fuzzy edge detector and its value is substituted with combination of mean, median values of its neighbors and S-shaped fuzzy membership function values. Presented experimental results illustrate the performance of proposed algorithm in terms of visual appearance and also in terms of quantified values as MSE, PSNR.","PeriodicalId":194102,"journal":{"name":"2013 International conference on Circuits, Controls and Communications (CCUBE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Fuzzy edge detector based blocking artifacts removal of DCT compressed images\",\"authors\":\"D. Gambhir, N. Rajpal\",\"doi\":\"10.1109/CCUBE.2013.6718544\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"DCT compressed digital images vulnerable to block like visible distortions at low bit rate. To overcome these block distortions, a new compressed image artifact removal method as cascade of fuzzy edge detector and fuzzy based substitution is proposed. In this scheme, Gaussian type fuzzy edge detector is used for each overlapped block of a DCT compressed image. The central pixel of compressed image block is to be considered under block edge boundary depending on fuzzy edge detector and its value is substituted with combination of mean, median values of its neighbors and S-shaped fuzzy membership function values. Presented experimental results illustrate the performance of proposed algorithm in terms of visual appearance and also in terms of quantified values as MSE, PSNR.\",\"PeriodicalId\":194102,\"journal\":{\"name\":\"2013 International conference on Circuits, Controls and Communications (CCUBE)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International conference on Circuits, Controls and Communications (CCUBE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCUBE.2013.6718544\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International conference on Circuits, Controls and Communications (CCUBE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCUBE.2013.6718544","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

DCT压缩的数字图像在低比特率下容易受到可见失真等块的影响。为了克服这些块畸变,提出了一种新的压缩图像伪影去除方法,即模糊边缘检测器级联和基于模糊的替换。在该方案中,对DCT压缩图像的每个重叠块使用高斯型模糊边缘检测器。利用模糊边缘检测器在块边缘边界下考虑压缩图像块的中心像素,并将其值替换为相邻块的均值、中值和s形模糊隶属函数值的组合。实验结果表明,该算法在视觉外观和量化值(如MSE, PSNR)方面都具有良好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy edge detector based blocking artifacts removal of DCT compressed images
DCT compressed digital images vulnerable to block like visible distortions at low bit rate. To overcome these block distortions, a new compressed image artifact removal method as cascade of fuzzy edge detector and fuzzy based substitution is proposed. In this scheme, Gaussian type fuzzy edge detector is used for each overlapped block of a DCT compressed image. The central pixel of compressed image block is to be considered under block edge boundary depending on fuzzy edge detector and its value is substituted with combination of mean, median values of its neighbors and S-shaped fuzzy membership function values. Presented experimental results illustrate the performance of proposed algorithm in terms of visual appearance and also in terms of quantified values as MSE, PSNR.
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