{"title":"一种新的双线性三次卷积插值方法用于数字图像缩放","authors":"H. Moon, Kyeong-Ri Ko, Juhyun Shin, S. Pan","doi":"10.1145/2554850.2559913","DOIUrl":null,"url":null,"abstract":"As the better high quality image is required for digital image scaling, longer processing time is required so the technology that can make the high quality image quickly is needed. We propose the double linear--cubic convolution interpolation creating the high quality image with low complexity. When compared to peak signal-to-noise ratio(PSNR) and computation time, the proposed interpolation provided better PSNR and low complexity than bicubic convolution interpolation.","PeriodicalId":285655,"journal":{"name":"Proceedings of the 29th Annual ACM Symposium on Applied Computing","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A novel double linear-cubic convolution interpolation for digital image scaling\",\"authors\":\"H. Moon, Kyeong-Ri Ko, Juhyun Shin, S. Pan\",\"doi\":\"10.1145/2554850.2559913\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As the better high quality image is required for digital image scaling, longer processing time is required so the technology that can make the high quality image quickly is needed. We propose the double linear--cubic convolution interpolation creating the high quality image with low complexity. When compared to peak signal-to-noise ratio(PSNR) and computation time, the proposed interpolation provided better PSNR and low complexity than bicubic convolution interpolation.\",\"PeriodicalId\":285655,\"journal\":{\"name\":\"Proceedings of the 29th Annual ACM Symposium on Applied Computing\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-03-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 29th Annual ACM Symposium on Applied Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2554850.2559913\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 29th Annual ACM Symposium on Applied Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2554850.2559913","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A novel double linear-cubic convolution interpolation for digital image scaling
As the better high quality image is required for digital image scaling, longer processing time is required so the technology that can make the high quality image quickly is needed. We propose the double linear--cubic convolution interpolation creating the high quality image with low complexity. When compared to peak signal-to-noise ratio(PSNR) and computation time, the proposed interpolation provided better PSNR and low complexity than bicubic convolution interpolation.
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