{"title":"一种基于自适应模式的CV图像插值算法","authors":"Yinghao Liao, Xin Wang","doi":"10.1109/ICASID.2012.6325321","DOIUrl":null,"url":null,"abstract":"In this paper, an adaptive image interpolation algorithm based on computational verb is proposed. This algorithm improves the previous work on computational verb image interpolation by exploiting the adaptive pattern to preserve the edge in interpolated images. As tested in a number of experiments, the proposed algorithm produces at least equal, often significantly better results than our previously published work.","PeriodicalId":408223,"journal":{"name":"Anti-counterfeiting, Security, and Identification","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A new CV image interpolation algorithm based on adptive pattern\",\"authors\":\"Yinghao Liao, Xin Wang\",\"doi\":\"10.1109/ICASID.2012.6325321\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, an adaptive image interpolation algorithm based on computational verb is proposed. This algorithm improves the previous work on computational verb image interpolation by exploiting the adaptive pattern to preserve the edge in interpolated images. As tested in a number of experiments, the proposed algorithm produces at least equal, often significantly better results than our previously published work.\",\"PeriodicalId\":408223,\"journal\":{\"name\":\"Anti-counterfeiting, Security, and Identification\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Anti-counterfeiting, Security, and Identification\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICASID.2012.6325321\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Anti-counterfeiting, Security, and Identification","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASID.2012.6325321","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new CV image interpolation algorithm based on adptive pattern
In this paper, an adaptive image interpolation algorithm based on computational verb is proposed. This algorithm improves the previous work on computational verb image interpolation by exploiting the adaptive pattern to preserve the edge in interpolated images. As tested in a number of experiments, the proposed algorithm produces at least equal, often significantly better results than our previously published work.