{"title":"一种定向小波构造方法及其在图像压缩中的应用","authors":"R. Vargic","doi":"10.1109/VIPROM.2002.1026655","DOIUrl":null,"url":null,"abstract":"In this paper we construct a new type of directional wavelet transform based on the lifting scheme and quincunx sampling. Based on known separable wavelet predictors we build nonseparable 2D wavelet predictors with directional properties. As example we use the resulting wavelet transform for image compression for motion blurred images.","PeriodicalId":223771,"journal":{"name":"International Symposium on VIPromCom Video/Image Processing and Multimedia Communications","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"An approach to directional wavelet construction and their use for image compression\",\"authors\":\"R. Vargic\",\"doi\":\"10.1109/VIPROM.2002.1026655\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we construct a new type of directional wavelet transform based on the lifting scheme and quincunx sampling. Based on known separable wavelet predictors we build nonseparable 2D wavelet predictors with directional properties. As example we use the resulting wavelet transform for image compression for motion blurred images.\",\"PeriodicalId\":223771,\"journal\":{\"name\":\"International Symposium on VIPromCom Video/Image Processing and Multimedia Communications\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Symposium on VIPromCom Video/Image Processing and Multimedia Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VIPROM.2002.1026655\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Symposium on VIPromCom Video/Image Processing and Multimedia Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VIPROM.2002.1026655","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An approach to directional wavelet construction and their use for image compression
In this paper we construct a new type of directional wavelet transform based on the lifting scheme and quincunx sampling. Based on known separable wavelet predictors we build nonseparable 2D wavelet predictors with directional properties. As example we use the resulting wavelet transform for image compression for motion blurred images.
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