用于多分辨率分析的离散小波变换的大面积高效VLSI实现

E. Ramola, J. Manoharan
{"title":"用于多分辨率分析的离散小波变换的大面积高效VLSI实现","authors":"E. Ramola, J. Manoharan","doi":"10.1109/ICECTECH.2011.5942119","DOIUrl":null,"url":null,"abstract":"Discrete Wavelet Transform (DWT) has become one of the most used techniques for image compression and is applied in a large category of applications for Multi resolution analysis of signals. DWT can provide significant compression ratios without great loss of visual quality than the previous techniques such as the Discrete Cosine Transform (DCT) and the Discrete Fourier Transform (DFT). This work provides a Qualitative analysis between the conventional VLSI implementation techniques as against a fast realization approach discussed in this work. It is expected to provide a reduction in Hardware Complexity and also increase in computational speed with an efficient area optimization.","PeriodicalId":184011,"journal":{"name":"2011 3rd International Conference on Electronics Computer Technology","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"An area efficient VLSI realization of Discrete Wavelet Transform for multiresolution analysis\",\"authors\":\"E. Ramola, J. Manoharan\",\"doi\":\"10.1109/ICECTECH.2011.5942119\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Discrete Wavelet Transform (DWT) has become one of the most used techniques for image compression and is applied in a large category of applications for Multi resolution analysis of signals. DWT can provide significant compression ratios without great loss of visual quality than the previous techniques such as the Discrete Cosine Transform (DCT) and the Discrete Fourier Transform (DFT). This work provides a Qualitative analysis between the conventional VLSI implementation techniques as against a fast realization approach discussed in this work. It is expected to provide a reduction in Hardware Complexity and also increase in computational speed with an efficient area optimization.\",\"PeriodicalId\":184011,\"journal\":{\"name\":\"2011 3rd International Conference on Electronics Computer Technology\",\"volume\":\"65 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 3rd International Conference on Electronics Computer Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICECTECH.2011.5942119\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 3rd International Conference on Electronics Computer Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECTECH.2011.5942119","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

离散小波变换(DWT)已成为最常用的图像压缩技术之一,在多分辨率信号分析中有着广泛的应用。与之前的技术(如离散余弦变换(DCT)和离散傅立叶变换(DFT))相比,DWT可以提供显著的压缩比,而不会造成很大的视觉质量损失。这项工作提供了传统VLSI实现技术与本工作中讨论的快速实现方法之间的定性分析。它有望降低硬件复杂性,并通过有效的面积优化提高计算速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An area efficient VLSI realization of Discrete Wavelet Transform for multiresolution analysis
Discrete Wavelet Transform (DWT) has become one of the most used techniques for image compression and is applied in a large category of applications for Multi resolution analysis of signals. DWT can provide significant compression ratios without great loss of visual quality than the previous techniques such as the Discrete Cosine Transform (DCT) and the Discrete Fourier Transform (DFT). This work provides a Qualitative analysis between the conventional VLSI implementation techniques as against a fast realization approach discussed in this work. It is expected to provide a reduction in Hardware Complexity and also increase in computational speed with an efficient area optimization.
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
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