{"title":"一种图像压缩系统","authors":"J. Rissanen","doi":"10.1109/MILCOM.1986.4805873","DOIUrl":null,"url":null,"abstract":"A lossless image compression system is described, which consists of a statistical model and an arithmetic code. The model first performs a prediction of each pixel by a plane, and then it collects the occurrence counts of the prediction errors, conditioned on past pixels forming a \"context\". The counts are collected in a tree, constructed adaptively, and the size of the context with which each pixel is encoded is optimized.","PeriodicalId":126184,"journal":{"name":"MILCOM 1986 - IEEE Military Communications Conference: Communications-Computers: Teamed for the 90's","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1986-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"An Image Compression System\",\"authors\":\"J. Rissanen\",\"doi\":\"10.1109/MILCOM.1986.4805873\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A lossless image compression system is described, which consists of a statistical model and an arithmetic code. The model first performs a prediction of each pixel by a plane, and then it collects the occurrence counts of the prediction errors, conditioned on past pixels forming a \\\"context\\\". The counts are collected in a tree, constructed adaptively, and the size of the context with which each pixel is encoded is optimized.\",\"PeriodicalId\":126184,\"journal\":{\"name\":\"MILCOM 1986 - IEEE Military Communications Conference: Communications-Computers: Teamed for the 90's\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1986-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"MILCOM 1986 - IEEE Military Communications Conference: Communications-Computers: Teamed for the 90's\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MILCOM.1986.4805873\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"MILCOM 1986 - IEEE Military Communications Conference: Communications-Computers: Teamed for the 90's","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MILCOM.1986.4805873","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A lossless image compression system is described, which consists of a statistical model and an arithmetic code. The model first performs a prediction of each pixel by a plane, and then it collects the occurrence counts of the prediction errors, conditioned on past pixels forming a "context". The counts are collected in a tree, constructed adaptively, and the size of the context with which each pixel is encoded is optimized.