{"title":"A variant of address vector quantization for image compression using lossless conditional entropy coding","authors":"Wen-Shiung Chen, E. Yang, Zhen Zhang","doi":"10.1109/ICASSP.1995.480052","DOIUrl":null,"url":null,"abstract":"In this paper, a variant of address vector quantization (ADVQ) algorithm for image compression using conditional entropy lossless coding is presented. The motivation of the proposed approach is derived from Shannon's basic entropy concept that conditional entropy is less than joint entropy.","PeriodicalId":300119,"journal":{"name":"1995 International Conference on Acoustics, Speech, and Signal Processing","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1995 International Conference on Acoustics, Speech, and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSP.1995.480052","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In this paper, a variant of address vector quantization (ADVQ) algorithm for image compression using conditional entropy lossless coding is presented. The motivation of the proposed approach is derived from Shannon's basic entropy concept that conditional entropy is less than joint entropy.