{"title":"索引输出点在一个基于晶格的矢量量化器","authors":"M. Khataie, M. Soleymani","doi":"10.1109/CCECE.1995.528097","DOIUrl":null,"url":null,"abstract":"A new method for indexing the codewords of a lattice based vector quantizer (LBVQ) is presented. With this method, a codebook with a large number of lattice points can be selected. As a result, the quality of the compressed image can be very high. For some images, our methods shows up to a 1.5 dB improvement in comparison with JPEG. This method is suitable for applications with moderate to high vector dimensions.","PeriodicalId":158581,"journal":{"name":"Proceedings 1995 Canadian Conference on Electrical and Computer Engineering","volume":"462 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Indexing the output points in a lattice based vector quantizer\",\"authors\":\"M. Khataie, M. Soleymani\",\"doi\":\"10.1109/CCECE.1995.528097\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new method for indexing the codewords of a lattice based vector quantizer (LBVQ) is presented. With this method, a codebook with a large number of lattice points can be selected. As a result, the quality of the compressed image can be very high. For some images, our methods shows up to a 1.5 dB improvement in comparison with JPEG. This method is suitable for applications with moderate to high vector dimensions.\",\"PeriodicalId\":158581,\"journal\":{\"name\":\"Proceedings 1995 Canadian Conference on Electrical and Computer Engineering\",\"volume\":\"462 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 1995 Canadian Conference on Electrical and Computer Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCECE.1995.528097\",\"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 1995 Canadian Conference on Electrical and Computer Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCECE.1995.528097","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Indexing the output points in a lattice based vector quantizer
A new method for indexing the codewords of a lattice based vector quantizer (LBVQ) is presented. With this method, a codebook with a large number of lattice points can be selected. As a result, the quality of the compressed image can be very high. For some images, our methods shows up to a 1.5 dB improvement in comparison with JPEG. This method is suitable for applications with moderate to high vector dimensions.