{"title":"一种无掩模光刻系统的无损电路布局图像压缩算法","authors":"Jeehong Yang, S. Savari","doi":"10.1109/DCC.2010.17","DOIUrl":null,"url":null,"abstract":"We introduce a transform-based technique to represent a circuit layout image so that 1) it typically leads to better compression ratios for maskless lithography systems than Block C4, the state-of-the-art compression scheme for this application, and 2) it permits faster encoding and less complex decoding than Block C4, while 3) it requires a similar amount of memory for decoding.","PeriodicalId":299459,"journal":{"name":"2010 Data Compression Conference","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"A Lossless Circuit Layout Image Compression Algorithm for Maskless Lithography Systems\",\"authors\":\"Jeehong Yang, S. Savari\",\"doi\":\"10.1109/DCC.2010.17\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We introduce a transform-based technique to represent a circuit layout image so that 1) it typically leads to better compression ratios for maskless lithography systems than Block C4, the state-of-the-art compression scheme for this application, and 2) it permits faster encoding and less complex decoding than Block C4, while 3) it requires a similar amount of memory for decoding.\",\"PeriodicalId\":299459,\"journal\":{\"name\":\"2010 Data Compression Conference\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-03-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Data Compression Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DCC.2010.17\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Data Compression Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCC.2010.17","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Lossless Circuit Layout Image Compression Algorithm for Maskless Lithography Systems
We introduce a transform-based technique to represent a circuit layout image so that 1) it typically leads to better compression ratios for maskless lithography systems than Block C4, the state-of-the-art compression scheme for this application, and 2) it permits faster encoding and less complex decoding than Block C4, while 3) it requires a similar amount of memory for decoding.