一种基于自适应模式的CV图像插值算法

Yinghao Liao, Xin Wang
{"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}
引用次数: 0

摘要

提出了一种基于计算动词的自适应图像插值算法。该算法利用自适应模式来保持插值图像的边缘,改进了以往计算动词图像插值的工作。经过大量实验的测试,所提出的算法产生的结果至少与我们之前发表的工作相同,通常要好得多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信