{"title":"使用分层填充策略的低结构图像的快速自适应升级","authors":"S. Askar, P. Kauff, N. Brandenburg, O. Schreer","doi":"10.1109/VIPROM.2002.1026671","DOIUrl":null,"url":null,"abstract":"Image upscaling approaches are required especially when algorithms are applied to subsampled images in order to speed up processing time. Conventional techniques for upscaling images yield often blurred or blocky results, but more complicated methods are time consuming. We present an adaptive upscaling approach for low structured images, which provides real time capability for images in full TV resolution and produces clear and non-blocky edges due to a hierarchical filling strategy.","PeriodicalId":223771,"journal":{"name":"International Symposium on VIPromCom Video/Image Processing and Multimedia Communications","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Fast adaptive upscaling of low structured images using a hierarchical filling strategy\",\"authors\":\"S. Askar, P. Kauff, N. Brandenburg, O. Schreer\",\"doi\":\"10.1109/VIPROM.2002.1026671\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Image upscaling approaches are required especially when algorithms are applied to subsampled images in order to speed up processing time. Conventional techniques for upscaling images yield often blurred or blocky results, but more complicated methods are time consuming. We present an adaptive upscaling approach for low structured images, which provides real time capability for images in full TV resolution and produces clear and non-blocky edges due to a hierarchical filling strategy.\",\"PeriodicalId\":223771,\"journal\":{\"name\":\"International Symposium on VIPromCom Video/Image Processing and Multimedia Communications\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Symposium on VIPromCom Video/Image Processing and Multimedia Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VIPROM.2002.1026671\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Symposium on VIPromCom Video/Image Processing and Multimedia Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VIPROM.2002.1026671","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fast adaptive upscaling of low structured images using a hierarchical filling strategy
Image upscaling approaches are required especially when algorithms are applied to subsampled images in order to speed up processing time. Conventional techniques for upscaling images yield often blurred or blocky results, but more complicated methods are time consuming. We present an adaptive upscaling approach for low structured images, which provides real time capability for images in full TV resolution and produces clear and non-blocky edges due to a hierarchical filling strategy.
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