{"title":"A Technique For Lossless Compression Of Seismic Data","authors":"S. D. Steams","doi":"10.1109/IGARSS.1992.576804","DOIUrl":null,"url":null,"abstract":"This paper presents a novel and effective approach for lossless compression of seismic data. The lossless compression algorithm consists of two stages. The first stage is a modified linear predictor with discrete coefficients and the second stage is a bi-level sequence coding scheme in which two sample sizes are chosen and the predictor residue sequence is encoded into subsequences that alternate from one level to the other. The key feature of the two-stage algorithm is that it provides exact, bit for bit reconstruction of the original data, without any numerical noise added during decompression.","PeriodicalId":441591,"journal":{"name":"[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IGARSS.1992.576804","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
This paper presents a novel and effective approach for lossless compression of seismic data. The lossless compression algorithm consists of two stages. The first stage is a modified linear predictor with discrete coefficients and the second stage is a bi-level sequence coding scheme in which two sample sizes are chosen and the predictor residue sequence is encoded into subsequences that alternate from one level to the other. The key feature of the two-stage algorithm is that it provides exact, bit for bit reconstruction of the original data, without any numerical noise added during decompression.