{"title":"A review on hyperspectral image compression","authors":"Sanjith S, Ganesan R","doi":"10.1109/ICCICCT.2014.6993136","DOIUrl":null,"url":null,"abstract":"The growth of small satellite communication technologies, demands for data transmission and storage is rapidly increased. The advancements in computer technology and digital data processing techniques improves the efficiency of transmission and storage of data. Recently hyperspectral image compression has got considerable attention and so many researches had been made in this field and got positive results in compression ratio. In this paper we have made a state-of-the-art investigation about hyperspectral image compression which can be used in satellites onboard compression. Mainly this investigation is focused on lossy, lossless and near lossless compression methods and methodologies used to perform the compression. Topics covered includes Distributed Source Coding (DSC), Slepian-Wolf theory, M-CALIC, LAIS-LUT, FIVQ, DCT, JPEG2000 Multidimensional lattice vector quantization. As a final point the merits and demerits are discussed.","PeriodicalId":6615,"journal":{"name":"2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)","volume":"76 3 1","pages":"1159-1163"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCICCT.2014.6993136","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
The growth of small satellite communication technologies, demands for data transmission and storage is rapidly increased. The advancements in computer technology and digital data processing techniques improves the efficiency of transmission and storage of data. Recently hyperspectral image compression has got considerable attention and so many researches had been made in this field and got positive results in compression ratio. In this paper we have made a state-of-the-art investigation about hyperspectral image compression which can be used in satellites onboard compression. Mainly this investigation is focused on lossy, lossless and near lossless compression methods and methodologies used to perform the compression. Topics covered includes Distributed Source Coding (DSC), Slepian-Wolf theory, M-CALIC, LAIS-LUT, FIVQ, DCT, JPEG2000 Multidimensional lattice vector quantization. As a final point the merits and demerits are discussed.
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