A parallel framework for texture substitution coding

J. Wan, Jinbao Song, Long Ye, Qin Zhang
{"title":"A parallel framework for texture substitution coding","authors":"J. Wan, Jinbao Song, Long Ye, Qin Zhang","doi":"10.1109/ICEIT.2010.5607785","DOIUrl":null,"url":null,"abstract":"Image can be parsed into two main categories of representation: structure contour and region texture. However, real-time application of TSC is limited due to its inherent complexity and computational intensity. In this paper, we proposed a distributed parallel TSC framework based on MPI. This framework is implemented on a dedicated cluster. Experiments have demonstrated that our parallel framework can improve the TSC efficiency significantly and achieve optimal restoration.","PeriodicalId":346498,"journal":{"name":"2010 International Conference on Educational and Information Technology","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Educational and Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEIT.2010.5607785","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

Image can be parsed into two main categories of representation: structure contour and region texture. However, real-time application of TSC is limited due to its inherent complexity and computational intensity. In this paper, we proposed a distributed parallel TSC framework based on MPI. This framework is implemented on a dedicated cluster. Experiments have demonstrated that our parallel framework can improve the TSC efficiency significantly and achieve optimal restoration.
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
纹理替换编码的并行框架
图像的表示可以分为两大类:结构轮廓和区域纹理。然而,由于TSC固有的复杂性和计算强度,其实时应用受到了限制。本文提出了一种基于MPI的分布式并行TSC框架。该框架在专用集群上实现。实验表明,我们的并行框架可以显著提高TSC效率,实现最优恢复。
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
Identity-based authenticated key exchange protocols Research on human resource allocation optimization based on genetic algorithm from the perspective of two-way choice model Notice of RetractionFinite element mode analysis for ATV motorcycle frame Function design for remote teaching system based on mobile learning Process quality assurance of core process in college teaching
×
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