{"title":"利用互谱信息进行彩色图像压缩","authors":"Emilia Lavi-Burlak, M. Porat","doi":"10.1109/EEEI.2006.321146","DOIUrl":null,"url":null,"abstract":"Most image compression algorithms tend to decorrelate the RGB color components as part of the compression process. Nevertheless, the high correlation between color components could be helpful if mutual spectral information is exploited in the compression process. In this paper we introduce a new approach to color image compression that increases and exploits the high mutual spectral information of RGB components to improve the results' quality. Simulation results are presented and discussed. Our conclusion is that higher correlation between color components could contribute to improved image compression and be superior to the common approach of decorrelated image components.","PeriodicalId":142814,"journal":{"name":"2006 IEEE 24th Convention of Electrical & Electronics Engineers in Israel","volume":"188 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Color Image Compression using Mutual Spectral Information\",\"authors\":\"Emilia Lavi-Burlak, M. Porat\",\"doi\":\"10.1109/EEEI.2006.321146\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Most image compression algorithms tend to decorrelate the RGB color components as part of the compression process. Nevertheless, the high correlation between color components could be helpful if mutual spectral information is exploited in the compression process. In this paper we introduce a new approach to color image compression that increases and exploits the high mutual spectral information of RGB components to improve the results' quality. Simulation results are presented and discussed. Our conclusion is that higher correlation between color components could contribute to improved image compression and be superior to the common approach of decorrelated image components.\",\"PeriodicalId\":142814,\"journal\":{\"name\":\"2006 IEEE 24th Convention of Electrical & Electronics Engineers in Israel\",\"volume\":\"188 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE 24th Convention of Electrical & Electronics Engineers in Israel\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EEEI.2006.321146\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE 24th Convention of Electrical & Electronics Engineers in Israel","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EEEI.2006.321146","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Color Image Compression using Mutual Spectral Information
Most image compression algorithms tend to decorrelate the RGB color components as part of the compression process. Nevertheless, the high correlation between color components could be helpful if mutual spectral information is exploited in the compression process. In this paper we introduce a new approach to color image compression that increases and exploits the high mutual spectral information of RGB components to improve the results' quality. Simulation results are presented and discussed. Our conclusion is that higher correlation between color components could contribute to improved image compression and be superior to the common approach of decorrelated image components.