{"title":"打印机管道中的压缩","authors":"G. Yovanof","doi":"10.1109/ACSSC.1995.540544","DOIUrl":null,"url":null,"abstract":"The role of data compression within a printer pipeline is studied. Hardcopy image compression poses a unique challenge due to the presence of halftoned data used to render continuous tone images on limited resolution devices. We present a quantitative comparison of the compressibility of several halftone patterns. The performance of a variety of lossless and lossy compression algorithms is evaluated. We also address the effect that certain image processing operations, like scaling and enhancement, have on the compression performance.","PeriodicalId":171264,"journal":{"name":"Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Compression in a printer pipeline\",\"authors\":\"G. Yovanof\",\"doi\":\"10.1109/ACSSC.1995.540544\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The role of data compression within a printer pipeline is studied. Hardcopy image compression poses a unique challenge due to the presence of halftoned data used to render continuous tone images on limited resolution devices. We present a quantitative comparison of the compressibility of several halftone patterns. The performance of a variety of lossless and lossy compression algorithms is evaluated. We also address the effect that certain image processing operations, like scaling and enhancement, have on the compression performance.\",\"PeriodicalId\":171264,\"journal\":{\"name\":\"Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers\",\"volume\":\"60 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACSSC.1995.540544\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACSSC.1995.540544","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The role of data compression within a printer pipeline is studied. Hardcopy image compression poses a unique challenge due to the presence of halftoned data used to render continuous tone images on limited resolution devices. We present a quantitative comparison of the compressibility of several halftone patterns. The performance of a variety of lossless and lossy compression algorithms is evaluated. We also address the effect that certain image processing operations, like scaling and enhancement, have on the compression performance.