零树编码中复系数的R-D量化

信号处理 Pub Date : 2001-08-06 DOI:10.1109/SSP.2001.955327

T. H. Reeves, N. Kingsbury

{"title":"零树编码中复系数的R-D量化","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":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2001-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"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\":null,\"pages\":null},\"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}","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

摘要

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。

查看原文本刊更多论文

R-D quantisation of complex coefficients in zerotree coding

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

信号处理

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.