一种新的计算动词图像插值算法

2011 IEEE International Conference on Anti-Counterfeiting, Security and Identification Pub Date : 2011-06-24 DOI:10.1109/ASID.2011.5967430

Xin Wang, Yinghao Liao, Huiqing Liu, Zhujun Guo, Caiqin Yi

{"title":"一种新的计算动词图像插值算法","authors":"Xin Wang, Yinghao Liao, Huiqing Liu, Zhujun Guo, Caiqin Yi","doi":"10.1109/ASID.2011.5967430","DOIUrl":null,"url":null,"abstract":"In this paper, a new image interpolation algorithm based on computational verb theory is proposed. The algorithm improves previous results by increasing the number of verb templates and enlarging the size of scanning windows. Experiments show that edge effect, PSNR, and clarity get improved in the new algorithm comparing to the previous one.","PeriodicalId":328792,"journal":{"name":"2011 IEEE International Conference on Anti-Counterfeiting, Security and Identification","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A new computational verb image interpolation algorithm\",\"authors\":\"Xin Wang, Yinghao Liao, Huiqing Liu, Zhujun Guo, Caiqin Yi\",\"doi\":\"10.1109/ASID.2011.5967430\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a new image interpolation algorithm based on computational verb theory is proposed. The algorithm improves previous results by increasing the number of verb templates and enlarging the size of scanning windows. Experiments show that edge effect, PSNR, and clarity get improved in the new algorithm comparing to the previous one.\",\"PeriodicalId\":328792,\"journal\":{\"name\":\"2011 IEEE International Conference on Anti-Counterfeiting, Security and Identification\",\"volume\":\"50 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Conference on Anti-Counterfeiting, Security and Identification\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASID.2011.5967430\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Anti-Counterfeiting, Security and Identification","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASID.2011.5967430","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

本文提出了一种基于计算动词理论的图像插值算法。该算法通过增加动词模板的数量和扩大扫描窗口的大小来改进先前的结果。实验结果表明，新算法在边缘效应、PSNR、清晰度等方面都有较好的提高。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A new computational verb image interpolation algorithm

In this paper, a new image interpolation algorithm based on computational verb theory is proposed. The algorithm improves previous results by increasing the number of verb templates and enlarging the size of scanning windows. Experiments show that edge effect, PSNR, and clarity get improved in the new algorithm comparing to the previous one.

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

2011 IEEE International Conference on Anti-Counterfeiting, Security and Identification

自引率

0.00%

发文量