{"title":"什么是小波","authors":"N. Fletcher","doi":"10.1049/CE:20060406","DOIUrl":null,"url":null,"abstract":"This paper provides a brief description of the wavelet transform method and how it can be used for image compression. The wavelet transform provides a means for multi-resolution analysis, which is achieved by examining an image over a range of scales. This enables efficient compression and quality image reproduction.","PeriodicalId":371133,"journal":{"name":"Communications Engineer","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"What are wavelets\",\"authors\":\"N. Fletcher\",\"doi\":\"10.1049/CE:20060406\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper provides a brief description of the wavelet transform method and how it can be used for image compression. The wavelet transform provides a means for multi-resolution analysis, which is achieved by examining an image over a range of scales. This enables efficient compression and quality image reproduction.\",\"PeriodicalId\":371133,\"journal\":{\"name\":\"Communications Engineer\",\"volume\":\"69 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Communications Engineer\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1049/CE:20060406\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications Engineer","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1049/CE:20060406","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper provides a brief description of the wavelet transform method and how it can be used for image compression. The wavelet transform provides a means for multi-resolution analysis, which is achieved by examining an image over a range of scales. This enables efficient compression and quality image reproduction.