{"title":"A character elimination algorithm for lossless data compression","authors":"Mark Hosang","doi":"10.1109/DCC.2002.1000000","DOIUrl":null,"url":null,"abstract":"Summary form only given. We present a detailed description of a lossless compression algorithm intended for use on files with non-uniform character distributions. This algorithm takes advantage of the relatively small distances between character occurrences once we remove the less frequent characters. This allows it to create a compressed version of the file that, when decompressed, is an exact copy of the file that was compressed. We begin by performing a Burrows-Wheeler (1994) Transform (BWT) on the file. The algorithm scans this BWT file to create a character frequency model for the compression phase. To deal with the issue of bit encoding, we write every number as a byte or sequence of bytes to the compressed file and run an arithmetic encoder after the file has been compiled.","PeriodicalId":420897,"journal":{"name":"Proceedings DCC 2002. Data Compression Conference","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings DCC 2002. Data Compression Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCC.2002.1000000","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Summary form only given. We present a detailed description of a lossless compression algorithm intended for use on files with non-uniform character distributions. This algorithm takes advantage of the relatively small distances between character occurrences once we remove the less frequent characters. This allows it to create a compressed version of the file that, when decompressed, is an exact copy of the file that was compressed. We begin by performing a Burrows-Wheeler (1994) Transform (BWT) on the file. The algorithm scans this BWT file to create a character frequency model for the compression phase. To deal with the issue of bit encoding, we write every number as a byte or sequence of bytes to the compressed file and run an arithmetic encoder after the file has been compiled.