{"title":"彩色图像显示的彩色子采样","authors":"C. Sigel, RuthAnn Abruzzi, J. Munson","doi":"10.1364/av.1989.fa7","DOIUrl":null,"url":null,"abstract":"The amount of information required to store color images is immense. For a typical 1024×1024 pixel color image, 8 bits each of R, G, and B data are usually stored (to avoid luminance or chromatic contouring artifacts), which adds up to 3 Mbytes per picture. This large size is problematic in several ways: framebuffer memory is still expensive; large framebuffers are technically more difficult to engineer (more boards, more heat); disk storage capabilities become swamped; the time required to transmit a picture from disk to terminal, or between network sites, is unacceptable.","PeriodicalId":344719,"journal":{"name":"Applied Vision","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Chromatic Subsampling for Display of Color Images\",\"authors\":\"C. Sigel, RuthAnn Abruzzi, J. Munson\",\"doi\":\"10.1364/av.1989.fa7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The amount of information required to store color images is immense. For a typical 1024×1024 pixel color image, 8 bits each of R, G, and B data are usually stored (to avoid luminance or chromatic contouring artifacts), which adds up to 3 Mbytes per picture. This large size is problematic in several ways: framebuffer memory is still expensive; large framebuffers are technically more difficult to engineer (more boards, more heat); disk storage capabilities become swamped; the time required to transmit a picture from disk to terminal, or between network sites, is unacceptable.\",\"PeriodicalId\":344719,\"journal\":{\"name\":\"Applied Vision\",\"volume\":\"50 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Vision\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/av.1989.fa7\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Vision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/av.1989.fa7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The amount of information required to store color images is immense. For a typical 1024×1024 pixel color image, 8 bits each of R, G, and B data are usually stored (to avoid luminance or chromatic contouring artifacts), which adds up to 3 Mbytes per picture. This large size is problematic in several ways: framebuffer memory is still expensive; large framebuffers are technically more difficult to engineer (more boards, more heat); disk storage capabilities become swamped; the time required to transmit a picture from disk to terminal, or between network sites, is unacceptable.