Symmetry based perceptually lossless compression of 3D medical images in spatial domain

B. Chandrika, P. Aparna, D. S. Sumam
{"title":"Symmetry based perceptually lossless compression of 3D medical images in spatial domain","authors":"B. Chandrika, P. Aparna, D. S. Sumam","doi":"10.1109/I4CT.2014.6914144","DOIUrl":null,"url":null,"abstract":"A perceptual model developed in spatial domain based on background luminance is combined with lossless compression frame work to remove visually redundant information. Block matching is applied on anatomical symmetry present in medical images to remove intra slice and inter slice correlations. The obtained results show better compression gains against lossless compression techniques, without any degradation in visual quality.","PeriodicalId":356190,"journal":{"name":"2014 International Conference on Computer, Communications, and Control Technology (I4CT)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Computer, Communications, and Control Technology (I4CT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I4CT.2014.6914144","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

A perceptual model developed in spatial domain based on background luminance is combined with lossless compression frame work to remove visually redundant information. Block matching is applied on anatomical symmetry present in medical images to remove intra slice and inter slice correlations. The obtained results show better compression gains against lossless compression techniques, without any degradation in visual quality.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于对称的空间域三维医学图像感知无损压缩
将基于背景亮度的空间域感知模型与无损压缩框架相结合,去除视觉冗余信息。将块匹配应用于医学图像中存在的解剖对称性,以去除切片内和切片间的相关性。得到的结果表明,与无损压缩技术相比,压缩效果更好,而视觉质量没有任何下降。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Time series method for machine performance prediction using condition monitoring data Model of competency for personalized training in B2B for sports industry Architecture of software tools for Domain-Specific Mathematical Modelling Region of adaptive threshold segmentation between mean, median and otsu threshold for dental age assessment Simple model following control design methods for a stable and an unstable plant
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1