小波变换在软图像处理中的应用

I. Shakirov
{"title":"小波变换在软图像处理中的应用","authors":"I. Shakirov","doi":"10.1109/SPCMTT.2000.896073","DOIUrl":null,"url":null,"abstract":"The main difference between a wavelet-transform (WT) and a Fourier transform is a more informative representation of time-, frequency-, scale- and time-properties of an image. The capacity of a WT of image analysis performing with equal scales is often compared with a mathematical microscope. The WT can successfully be applied to the problem of solving image processing although it is still insufficiently widely known for this purpose.","PeriodicalId":421846,"journal":{"name":"Proceedings of the 6th International Scientific and Practical Conference of Students, Post-graduates and Young Scientists. Modern Techniques and Technology. MTT'2000 (Cat. No.00EX369)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Application of wavelet-transformation for soft image processing\",\"authors\":\"I. Shakirov\",\"doi\":\"10.1109/SPCMTT.2000.896073\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The main difference between a wavelet-transform (WT) and a Fourier transform is a more informative representation of time-, frequency-, scale- and time-properties of an image. The capacity of a WT of image analysis performing with equal scales is often compared with a mathematical microscope. The WT can successfully be applied to the problem of solving image processing although it is still insufficiently widely known for this purpose.\",\"PeriodicalId\":421846,\"journal\":{\"name\":\"Proceedings of the 6th International Scientific and Practical Conference of Students, Post-graduates and Young Scientists. Modern Techniques and Technology. MTT'2000 (Cat. No.00EX369)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-02-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 6th International Scientific and Practical Conference of Students, Post-graduates and Young Scientists. Modern Techniques and Technology. MTT'2000 (Cat. No.00EX369)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPCMTT.2000.896073\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th International Scientific and Practical Conference of Students, Post-graduates and Young Scientists. Modern Techniques and Technology. MTT'2000 (Cat. No.00EX369)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPCMTT.2000.896073","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

小波变换(WT)和傅里叶变换的主要区别在于对图像的时间、频率、尺度和时间属性的信息表达更丰富。用等尺度进行图像分析的小波变换的能力通常与数学显微镜进行比较。小波变换可以成功地应用于解决图像处理问题,尽管它在这方面还不够广为人知。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of wavelet-transformation for soft image processing
The main difference between a wavelet-transform (WT) and a Fourier transform is a more informative representation of time-, frequency-, scale- and time-properties of an image. The capacity of a WT of image analysis performing with equal scales is often compared with a mathematical microscope. The WT can successfully be applied to the problem of solving image processing although it is still insufficiently widely known for this purpose.
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:481959085
Book学术官方微信