{"title":"信息通信系统中数字图像的svd缩放","authors":"M. A. Shcherbakov, V. V. Sazonov","doi":"10.1109/DYNAMICS.2016.7819083","DOIUrl":null,"url":null,"abstract":"The procedure of scaling images by approximating the matrix of observed data is described. A comparative analysis of the proposed method and the known approaches to the interpolation of images is conducted. The recommendations for the use of this method are given.","PeriodicalId":293543,"journal":{"name":"2016 Dynamics of Systems, Mechanisms and Machines (Dynamics)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"SVD-scaling of digital images in the information and communication systems\",\"authors\":\"M. A. Shcherbakov, V. V. Sazonov\",\"doi\":\"10.1109/DYNAMICS.2016.7819083\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The procedure of scaling images by approximating the matrix of observed data is described. A comparative analysis of the proposed method and the known approaches to the interpolation of images is conducted. The recommendations for the use of this method are given.\",\"PeriodicalId\":293543,\"journal\":{\"name\":\"2016 Dynamics of Systems, Mechanisms and Machines (Dynamics)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Dynamics of Systems, Mechanisms and Machines (Dynamics)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DYNAMICS.2016.7819083\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Dynamics of Systems, Mechanisms and Machines (Dynamics)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DYNAMICS.2016.7819083","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
SVD-scaling of digital images in the information and communication systems
The procedure of scaling images by approximating the matrix of observed data is described. A comparative analysis of the proposed method and the known approaches to the interpolation of images is conducted. The recommendations for the use of this method are given.