Improved compression by coupling of coding techniques and redundant transform

A. Poussard, C. Olivier, J. H. Wu, C. Chatellier
{"title":"Improved compression by coupling of coding techniques and redundant transform","authors":"A. Poussard, C. Olivier, J. H. Wu, C. Chatellier","doi":"10.1109/ICIP.2000.899591","DOIUrl":null,"url":null,"abstract":"The techniques commonly used in image coding (JPEG, MPEG, ...) have as the main objective to compress as much as possible while retaining most of the information. These methods are often based on the use of the discrete cosine transform (DCT) and the wavelet transform (WT). Our purpose is to consider the necessary redundancy to achieve a good reception in the case of heavy interruptions of bits transmission. There is however a contradiction between an optimal compression and the redundancy required. It is thus necessary to master and compress the information to be transmitted as much as possible and to withstand the noise on the transmission channel. This article makes a contribution to this difficult problem: its originality resides in the coupling of orthogonal transforms and a redundant transform. Simulation results are provided using our method and the results are compared with that of DCT and WT based methods for Lena and Mountain images.","PeriodicalId":193198,"journal":{"name":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIP.2000.899591","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The techniques commonly used in image coding (JPEG, MPEG, ...) have as the main objective to compress as much as possible while retaining most of the information. These methods are often based on the use of the discrete cosine transform (DCT) and the wavelet transform (WT). Our purpose is to consider the necessary redundancy to achieve a good reception in the case of heavy interruptions of bits transmission. There is however a contradiction between an optimal compression and the redundancy required. It is thus necessary to master and compress the information to be transmitted as much as possible and to withstand the noise on the transmission channel. This article makes a contribution to this difficult problem: its originality resides in the coupling of orthogonal transforms and a redundant transform. Simulation results are provided using our method and the results are compared with that of DCT and WT based methods for Lena and Mountain images.
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
通过编码技术和冗余变换的耦合改进压缩
图像编码中常用的技术(JPEG、MPEG等)的主要目标是尽可能多地压缩,同时保留大部分信息。这些方法通常基于离散余弦变换(DCT)和小波变换(WT)的使用。我们的目的是考虑必要的冗余,以便在比特传输严重中断的情况下实现良好的接收。然而,在最优压缩和所需的冗余之间存在矛盾。因此,有必要尽可能地掌握和压缩要传输的信息,并承受传输信道上的噪声。本文对这一难题作出了贡献:其独创性在于正交变换与冗余变换的耦合。给出了该方法的仿真结果,并与基于DCT和WT的方法对Lena和Mountain图像的仿真结果进行了比较。
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
Robust shape tracking in the presence of cluttered background Symmetric region growing Joint halftoning and watermarking A deformable template model based on fuzzy alignment algorithm Region-based scanning for image compression
×
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