Fast wavelet packet image compression

François G. Meyer, A. Averbuch, J. Strömberg, R. Coifman
{"title":"Fast wavelet packet image compression","authors":"François G. Meyer, A. Averbuch, J. Strömberg, R. Coifman","doi":"10.1109/DCC.1998.672305","DOIUrl":null,"url":null,"abstract":"Summary form only given. Presents a new fast wavelet packet compression algorithm that encodes very efficiently textured images. This fast wavelet packet compression technique relies on four stages: 1. Very fast convolution and decimation of the image with factorized filters. 2. Selection of a best basis in a large library of waveforms. The best basis is that basis which is best adapted to the content of the image. 3. Scanning of the wavelet packet coefficients by increasing frequency. This organization yields sequences of coefficients with a rapid decay. 4. Successive embedded approximation quantization, and entropy coding of the coefficients. We implemented the wavelet packet coder and decoder, and actual bit streams were created for each experiment. Our implementation used the 7-9 biorthogonal filters. We present the results of the algorithm, using the test image 512 x 512 Barbara. In order to evaluate the performance of the algorithm, we compared our algorithm to the SPIHT wavelet coder of Said and Pearlman (1996).","PeriodicalId":191890,"journal":{"name":"Proceedings DCC '98 Data Compression Conference (Cat. No.98TB100225)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings DCC '98 Data Compression Conference (Cat. No.98TB100225)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCC.1998.672305","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 21

Abstract

Summary form only given. Presents a new fast wavelet packet compression algorithm that encodes very efficiently textured images. This fast wavelet packet compression technique relies on four stages: 1. Very fast convolution and decimation of the image with factorized filters. 2. Selection of a best basis in a large library of waveforms. The best basis is that basis which is best adapted to the content of the image. 3. Scanning of the wavelet packet coefficients by increasing frequency. This organization yields sequences of coefficients with a rapid decay. 4. Successive embedded approximation quantization, and entropy coding of the coefficients. We implemented the wavelet packet coder and decoder, and actual bit streams were created for each experiment. Our implementation used the 7-9 biorthogonal filters. We present the results of the algorithm, using the test image 512 x 512 Barbara. In order to evaluate the performance of the algorithm, we compared our algorithm to the SPIHT wavelet coder of Said and Pearlman (1996).
快速小波包图像压缩
只提供摘要形式。提出一种新的快速小波包压缩算法,对纹理图像进行高效编码。这种快速小波包压缩技术依赖于四个阶段:1。非常快速的卷积和抽取图像与分解过滤器。2. 在一个大的波形库中选择一个最佳基。最佳基是最适合图像内容的基。3.扫描小波包系数的方法是增加频率。这种组织产生了衰减迅速的系数序列。4. 逐次嵌入近似量化,系数熵编码。我们实现了小波包编码器和解码器,并为每个实验创建了实际的比特流。我们的实现使用了7-9双正交滤波器。我们给出了算法的结果,使用测试图像512 × 512的芭芭拉。为了评估算法的性能,我们将我们的算法与Said和Pearlman(1996)的SPIHT小波编码器进行了比较。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信