{"title":"彩色图像压缩的组合VQ算法","authors":"H. Al-Otum","doi":"10.1109/ICECS.2003.1301986","DOIUrl":null,"url":null,"abstract":"In this paper, two VQ algorithms are introduced: (1) VQ with a fast clustering algorithm (VQ-FCA) that can be implemented for codebook production, and (2) VQ with a partially reordered codebook (VQ-PRCB), that extracts the correlation between adjacent VQ indices. Based on these algorithms, two schemes are proposed: (1) 2D VQ, and (2) combined 3D VQ schemes. Experimental results are compared with other algorithms to show its advantages.","PeriodicalId":36912,"journal":{"name":"Czas Kultury","volume":"10 1","pages":"100-103 Vol.1"},"PeriodicalIF":0.0000,"publicationDate":"2003-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Color image compression using combined VQ algorithms\",\"authors\":\"H. Al-Otum\",\"doi\":\"10.1109/ICECS.2003.1301986\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, two VQ algorithms are introduced: (1) VQ with a fast clustering algorithm (VQ-FCA) that can be implemented for codebook production, and (2) VQ with a partially reordered codebook (VQ-PRCB), that extracts the correlation between adjacent VQ indices. Based on these algorithms, two schemes are proposed: (1) 2D VQ, and (2) combined 3D VQ schemes. Experimental results are compared with other algorithms to show its advantages.\",\"PeriodicalId\":36912,\"journal\":{\"name\":\"Czas Kultury\",\"volume\":\"10 1\",\"pages\":\"100-103 Vol.1\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-12-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Czas Kultury\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICECS.2003.1301986\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Arts and Humanities\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Czas Kultury","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECS.2003.1301986","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Arts and Humanities","Score":null,"Total":0}
Color image compression using combined VQ algorithms
In this paper, two VQ algorithms are introduced: (1) VQ with a fast clustering algorithm (VQ-FCA) that can be implemented for codebook production, and (2) VQ with a partially reordered codebook (VQ-PRCB), that extracts the correlation between adjacent VQ indices. Based on these algorithms, two schemes are proposed: (1) 2D VQ, and (2) combined 3D VQ schemes. Experimental results are compared with other algorithms to show its advantages.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
