利用小波系数的显著性和有效的边缘扩展改进图像编码

Jiaming Li, J. S. Jin
{"title":"利用小波系数的显著性和有效的边缘扩展改进图像编码","authors":"Jiaming Li, J. S. Jin","doi":"10.1109/ISCAS.1997.622089","DOIUrl":null,"url":null,"abstract":"This paper presents our efforts on improving wavelet transform based image coding. In particular, by making use of efficient image edge extension, a high performance significant-wavelet-coefficient-based image coding (SWCBIC) is developed. Compared with the performance of original significant-wavelet-coefficient-based scheme, namely embedded zerotree wavelet (EZW) coding, our algorithm shows improvement on image quality, especially at a high compression ratio.","PeriodicalId":68559,"journal":{"name":"电路与系统学报","volume":"59 1","pages":"1309-1312 vol.2"},"PeriodicalIF":0.0000,"publicationDate":"1997-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Improving image coding using significance of wavelet coefficients with an efficient edge extension\",\"authors\":\"Jiaming Li, J. S. Jin\",\"doi\":\"10.1109/ISCAS.1997.622089\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents our efforts on improving wavelet transform based image coding. In particular, by making use of efficient image edge extension, a high performance significant-wavelet-coefficient-based image coding (SWCBIC) is developed. Compared with the performance of original significant-wavelet-coefficient-based scheme, namely embedded zerotree wavelet (EZW) coding, our algorithm shows improvement on image quality, especially at a high compression ratio.\",\"PeriodicalId\":68559,\"journal\":{\"name\":\"电路与系统学报\",\"volume\":\"59 1\",\"pages\":\"1309-1312 vol.2\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-06-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"电路与系统学报\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCAS.1997.622089\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"电路与系统学报","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/ISCAS.1997.622089","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文对基于小波变换的图像编码进行了改进。特别是利用有效的图像边缘扩展,开发了一种高性能的基于显著小波系数的图像编码(SWCBIC)。与原始的基于显著小波系数的方案,即嵌入式零树小波(EZW)编码的性能相比,我们的算法在图像质量上有改善,特别是在高压缩比下。
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
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Improving image coding using significance of wavelet coefficients with an efficient edge extension
This paper presents our efforts on improving wavelet transform based image coding. In particular, by making use of efficient image edge extension, a high performance significant-wavelet-coefficient-based image coding (SWCBIC) is developed. Compared with the performance of original significant-wavelet-coefficient-based scheme, namely embedded zerotree wavelet (EZW) coding, our algorithm shows improvement on image quality, especially at a high compression ratio.
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
自引率
0.00%
发文量
2463
期刊最新文献
Hysteresis quantizer Design of wide-tunable translinear second-order oscillators Design of a direct digital synthesizer with an on-chip D/A-converter Steady state analysis of SMPS Low power wireless communication and signal processing circuits for distributed microsensors
×
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