Parallel JPEG algorithms for still image compression

P. Monnes, B. Furht
{"title":"Parallel JPEG algorithms for still image compression","authors":"P. Monnes, B. Furht","doi":"10.1109/SECON.1994.324339","DOIUrl":null,"url":null,"abstract":"One of the hottest areas of development in the computer industry today is motion video on the desktop. Both motion video and still image video pose some new problems: huge storage and high bandwidths are required to send, view or store video data in a timely fashion. Compression techniques may help to reduce the amount of data by trading processing power for reduced data size. For both video compression and decompression, very large amounts of processing power are required to handle the video data quickly enough. Parallel processing is being used in some cases to solve this need for processing power. This paper explores some of the parallel processing techniques currently being used, and some additional possibilities for parallelization. It focuses primarily on JPEG (Joint Photographic Experts Group) techniques, but many of the concepts are applicable to other compression schemes. Results from a simple PC-based JPEG compression/decompression program are used to explore some of the techniques.<<ETX>>","PeriodicalId":119615,"journal":{"name":"Proceedings of SOUTHEASTCON '94","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of SOUTHEASTCON '94","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SECON.1994.324339","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

One of the hottest areas of development in the computer industry today is motion video on the desktop. Both motion video and still image video pose some new problems: huge storage and high bandwidths are required to send, view or store video data in a timely fashion. Compression techniques may help to reduce the amount of data by trading processing power for reduced data size. For both video compression and decompression, very large amounts of processing power are required to handle the video data quickly enough. Parallel processing is being used in some cases to solve this need for processing power. This paper explores some of the parallel processing techniques currently being used, and some additional possibilities for parallelization. It focuses primarily on JPEG (Joint Photographic Experts Group) techniques, but many of the concepts are applicable to other compression schemes. Results from a simple PC-based JPEG compression/decompression program are used to explore some of the techniques.<>
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
用于静态图像压缩的并行JPEG算法
当今计算机行业最热门的发展领域之一是在桌面上播放动态视频。动态视频和静止图像视频都提出了一些新问题:需要大容量和高带宽才能及时发送、查看或存储视频数据。压缩技术可以通过交换处理能力来减少数据大小,从而帮助减少数据量。对于视频压缩和解压缩,都需要非常大的处理能力来足够快地处理视频数据。在某些情况下,并行处理被用来解决这种对处理能力的需求。本文探讨了目前正在使用的一些并行处理技术,以及并行化的一些其他可能性。它主要关注JPEG(联合摄影专家组)技术,但许多概念也适用于其他压缩方案。从一个简单的基于pc的JPEG压缩/解压缩程序的结果被用来探索一些技术。
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
The use of wavelet transform as a preprocessor for the neural network detection of EEG spikes An output unit for low frequency square wave electronic ballasts The IBM Personal Communicator-design considerations Accelerating conversations for fault-tolerant concurrent software Application of three dimensional image analysis to the mammalian cell nucleus
×
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