E. Balster, J. P. Skeans, F. Scarpino, Kerry L. Hill
{"title":"B-plane compression technique for lossless and lossy coding of LAS files","authors":"E. Balster, J. P. Skeans, F. Scarpino, Kerry L. Hill","doi":"10.1109/ICICT52872.2021.00042","DOIUrl":null,"url":null,"abstract":"In this paper, a new technique called B-plane compression is presented. This technique is used to compress LAS files, producing slightly better overall compression gain than the popular LAZ compression engine. Furthermore, the B-plane compression technique has other advantages. B-plane compression processes each of the ten attributes within the LAS files independently, allowing for parallel processing of LAS files, unlike LAZ which uses the return number and number of return attributes to provide context for compression of X, Y, and intensity attributes. Additionally, B-plane compression processes each attribute in a similar manner, with only minor adjustments to the compression technique for the intensity and return attributes as they are compressed as unsigned integers. All other attributes are compressed with the exact same algorithm. Overall, B-plane compression produces on average 1.48% increased compression gain when compared to LAZ compression for lossless compression of LAS files. Additionally, we introduce a quantization step in the compression of X, Y, Z, and intensity attributes, allowing for lossy compression and large compression gain.","PeriodicalId":359456,"journal":{"name":"2021 4th International Conference on Information and Computer Technologies (ICICT)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 4th International Conference on Information and Computer Technologies (ICICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICT52872.2021.00042","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, a new technique called B-plane compression is presented. This technique is used to compress LAS files, producing slightly better overall compression gain than the popular LAZ compression engine. Furthermore, the B-plane compression technique has other advantages. B-plane compression processes each of the ten attributes within the LAS files independently, allowing for parallel processing of LAS files, unlike LAZ which uses the return number and number of return attributes to provide context for compression of X, Y, and intensity attributes. Additionally, B-plane compression processes each attribute in a similar manner, with only minor adjustments to the compression technique for the intensity and return attributes as they are compressed as unsigned integers. All other attributes are compressed with the exact same algorithm. Overall, B-plane compression produces on average 1.48% increased compression gain when compared to LAZ compression for lossless compression of LAS files. Additionally, we introduce a quantization step in the compression of X, Y, Z, and intensity attributes, allowing for lossy compression and large compression gain.
本文提出了一种称为b平面压缩的新技术。该技术用于压缩LAS文件,产生比流行的LAZ压缩引擎稍好的总体压缩增益。此外,b面压缩技术还有其他优点。b平面压缩独立处理LAS文件中的十个属性中的每一个,从而允许并行处理LAS文件,不像LAZ使用返回数和返回属性数来为X、Y和强度属性的压缩提供上下文。此外,b平面压缩以类似的方式处理每个属性,只对压缩技术的强度和返回属性进行了很小的调整,因为它们被压缩为无符号整数。所有其他属性都使用完全相同的算法进行压缩。总的来说,对于LAS文件的无损压缩,b平面压缩比LAZ压缩平均增加1.48%的压缩增益。此外,我们在X, Y, Z和强度属性的压缩中引入了量化步骤,从而允许有损压缩和大压缩增益。