{"title":"一种利用变阶小波变换和HVS特性的生物医学图像渐进压缩方案","authors":"M. Bouziane, R. Noumeir, C. Gargour","doi":"10.1109/CCECE.2001.933569","DOIUrl":null,"url":null,"abstract":"We propose a progressive compression scheme for medical images. Our approach is based on subband coding by wavelet filters and uses a quantification method based on the human vision characteristics. Each step of the proposed compression scheme has been optimized and results are presented for a CT brain image.","PeriodicalId":184523,"journal":{"name":"Canadian Conference on Electrical and Computer Engineering 2001. Conference Proceedings (Cat. No.01TH8555)","volume":"28 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A progressive scheme for biomedical image compression using variable order wavelets transforms and HVS characteristics\",\"authors\":\"M. Bouziane, R. Noumeir, C. Gargour\",\"doi\":\"10.1109/CCECE.2001.933569\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a progressive compression scheme for medical images. Our approach is based on subband coding by wavelet filters and uses a quantification method based on the human vision characteristics. Each step of the proposed compression scheme has been optimized and results are presented for a CT brain image.\",\"PeriodicalId\":184523,\"journal\":{\"name\":\"Canadian Conference on Electrical and Computer Engineering 2001. Conference Proceedings (Cat. No.01TH8555)\",\"volume\":\"28 3\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-05-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Canadian Conference on Electrical and Computer Engineering 2001. Conference Proceedings (Cat. No.01TH8555)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCECE.2001.933569\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Canadian Conference on Electrical and Computer Engineering 2001. Conference Proceedings (Cat. No.01TH8555)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCECE.2001.933569","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A progressive scheme for biomedical image compression using variable order wavelets transforms and HVS characteristics
We propose a progressive compression scheme for medical images. Our approach is based on subband coding by wavelet filters and uses a quantification method based on the human vision characteristics. Each step of the proposed compression scheme has been optimized and results are presented for a CT brain image.