{"title":"利用子块DCT进行小波图像压缩","authors":"H. Kondo, Hiroki Kou","doi":"10.1109/ICON.2001.962362","DOIUrl":null,"url":null,"abstract":"A wavelet image compression method using sub-block DCT is presented. The presented method is a hybrid type of DWT and DCT. The sub-block DCT is employed to the DWT-details. DWT-details have usually zero mean and small variance and hence the sub-block DCT method is very efficient. The size of sub-block for DCT is 8/spl times/8 pixel for level 1 DWT-details and 4/spl times/4 pixel for level 2 DWT-details. The simulation examples show that the presented method gives a better picture quality that of the usual JPEG method.","PeriodicalId":178842,"journal":{"name":"Proceedings. Ninth IEEE International Conference on Networks, ICON 2001.","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Wavelet image compression using sub-block DCT\",\"authors\":\"H. Kondo, Hiroki Kou\",\"doi\":\"10.1109/ICON.2001.962362\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A wavelet image compression method using sub-block DCT is presented. The presented method is a hybrid type of DWT and DCT. The sub-block DCT is employed to the DWT-details. DWT-details have usually zero mean and small variance and hence the sub-block DCT method is very efficient. The size of sub-block for DCT is 8/spl times/8 pixel for level 1 DWT-details and 4/spl times/4 pixel for level 2 DWT-details. The simulation examples show that the presented method gives a better picture quality that of the usual JPEG method.\",\"PeriodicalId\":178842,\"journal\":{\"name\":\"Proceedings. Ninth IEEE International Conference on Networks, ICON 2001.\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. Ninth IEEE International Conference on Networks, ICON 2001.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICON.2001.962362\",\"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. Ninth IEEE International Conference on Networks, ICON 2001.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICON.2001.962362","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A wavelet image compression method using sub-block DCT is presented. The presented method is a hybrid type of DWT and DCT. The sub-block DCT is employed to the DWT-details. DWT-details have usually zero mean and small variance and hence the sub-block DCT method is very efficient. The size of sub-block for DCT is 8/spl times/8 pixel for level 1 DWT-details and 4/spl times/4 pixel for level 2 DWT-details. The simulation examples show that the presented method gives a better picture quality that of the usual JPEG method.
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