M. Fahmy, G. Raheem, U. S. Mohamed, O. Fahmy, G. Fahmy
{"title":"b样条小波去噪与图像压缩","authors":"M. Fahmy, G. Raheem, U. S. Mohamed, O. Fahmy, G. Fahmy","doi":"10.1109/ISSPIT.2008.4775668","DOIUrl":null,"url":null,"abstract":"In this paper we briefly describe the results of a recent research on how to construct and implement Bspline wavelet basis. Next, a novel technique based on using Bspline wavelet basis, is proposed for signal de-noising and image compression. Extensive simulation results, have shown that the proposed technique competes very well with other methods using classical orthogonal and bi-orthogonal wavelets. Bsplines example are given.","PeriodicalId":213756,"journal":{"name":"2008 IEEE International Symposium on Signal Processing and Information Technology","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Denoising and Image Compression Using Bspline Wavelets\",\"authors\":\"M. Fahmy, G. Raheem, U. S. Mohamed, O. Fahmy, G. Fahmy\",\"doi\":\"10.1109/ISSPIT.2008.4775668\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we briefly describe the results of a recent research on how to construct and implement Bspline wavelet basis. Next, a novel technique based on using Bspline wavelet basis, is proposed for signal de-noising and image compression. Extensive simulation results, have shown that the proposed technique competes very well with other methods using classical orthogonal and bi-orthogonal wavelets. Bsplines example are given.\",\"PeriodicalId\":213756,\"journal\":{\"name\":\"2008 IEEE International Symposium on Signal Processing and Information Technology\",\"volume\":\"53 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE International Symposium on Signal Processing and Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSPIT.2008.4775668\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Symposium on Signal Processing and Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPIT.2008.4775668","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Denoising and Image Compression Using Bspline Wavelets
In this paper we briefly describe the results of a recent research on how to construct and implement Bspline wavelet basis. Next, a novel technique based on using Bspline wavelet basis, is proposed for signal de-noising and image compression. Extensive simulation results, have shown that the proposed technique competes very well with other methods using classical orthogonal and bi-orthogonal wavelets. Bsplines example are given.
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