R-D quantisation of complex coefficients in zerotree coding

T. H. Reeves, N. Kingsbury
{"title":"R-D quantisation of complex coefficients in zerotree coding","authors":"T. H. Reeves, N. Kingsbury","doi":"10.1109/SSP.2001.955327","DOIUrl":null,"url":null,"abstract":"This paper describes a rate-distortion (R-D) optimal scheme for bit-plane based quantisation of complex coefficients, which is suitable for zerotree image coding systems. Most zerotree-type image codecs operate on real-valued wavelet coefficients. The dual-tree complex wavelet transform, which has several advantages over the discrete wavelet transform, produces complex coefficients. Our scheme offers progressive bit-by-bit refinement of coefficient magnitude and phase values. It ensures that refinement decisions always maximise the expected distortion decrease.","PeriodicalId":70952,"journal":{"name":"信号处理","volume":"57 1","pages":"480-483"},"PeriodicalIF":0.0000,"publicationDate":"2001-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"信号处理","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/SSP.2001.955327","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

This paper describes a rate-distortion (R-D) optimal scheme for bit-plane based quantisation of complex coefficients, which is suitable for zerotree image coding systems. Most zerotree-type image codecs operate on real-valued wavelet coefficients. The dual-tree complex wavelet transform, which has several advantages over the discrete wavelet transform, produces complex coefficients. Our scheme offers progressive bit-by-bit refinement of coefficient magnitude and phase values. It ensures that refinement decisions always maximise the expected distortion decrease.
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
零树编码中复系数的R-D量化
本文提出了一种适用于零树图像编码系统的基于位平面的复系数量化的率失真(R-D)优化方案。大多数零树型图像编解码器对实值小波系数进行操作。双树复小波变换产生复系数,与离散小波变换相比具有许多优点。我们的方案提供了系数幅度和相位值的逐位渐进细化。它确保改进决策总是最大化预期的失真减少。
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
5812
期刊介绍: Journal of Signal Processing is an academic journal supervised by China Association for Science and Technology and sponsored by China Institute of Electronics. The journal is an academic journal that reflects the latest research results and technological progress in the field of signal processing and related disciplines. It covers academic papers and review articles on new theories, new ideas, and new technologies in the field of signal processing. The journal aims to provide a platform for academic exchanges for scientific researchers and engineering and technical personnel engaged in basic research and applied research in signal processing, thereby promoting the development of information science and technology. At present, the journal has been included in the three major domestic core journal databases "China Science Citation Database (CSCD), China Science and Technology Core Journals (CSTPCD), Chinese Core Journals Overview" and Coaj. It is also included in many foreign databases such as Scopus, CSA, EBSCO host, INSPEC, JST, etc.
期刊最新文献
A 4/sup N/-QAM adaptive decision device to mitigate I/Q imbalance and impairments caused by time-varying flat fading channels GMM and kernel-based speaker recognition with the ISIP toolkit Approximate leave-one-out error estimation for learning with smooth, strictly convex margin loss functions Speech enhancement by lateral inhibition and binaural masking A hybrid neural network/rule based system for bilingual text-to-phoneme mapping
×
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