{"title":"3d图像压缩与可变片段","authors":"E. Sokolova, A. Nyrkov, Aleksei N. Ivanovskii","doi":"10.1109/ElConRus51938.2021.9396735","DOIUrl":null,"url":null,"abstract":"The article describes the developed algorithm model for the 3D-images compression with variable fragments allowing to compress the static images with compression coefficient (from 1 to 64), depicts the main compression strategy principles, illustrates the program interface and presents the comparison of the experiments results on various static images.","PeriodicalId":447345,"journal":{"name":"2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"3d Image Compression with Variable Fragments\",\"authors\":\"E. Sokolova, A. Nyrkov, Aleksei N. Ivanovskii\",\"doi\":\"10.1109/ElConRus51938.2021.9396735\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article describes the developed algorithm model for the 3D-images compression with variable fragments allowing to compress the static images with compression coefficient (from 1 to 64), depicts the main compression strategy principles, illustrates the program interface and presents the comparison of the experiments results on various static images.\",\"PeriodicalId\":447345,\"journal\":{\"name\":\"2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ElConRus51938.2021.9396735\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ElConRus51938.2021.9396735","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The article describes the developed algorithm model for the 3D-images compression with variable fragments allowing to compress the static images with compression coefficient (from 1 to 64), depicts the main compression strategy principles, illustrates the program interface and presents the comparison of the experiments results on various static images.